With the progressive complication of modern war scenarios, traditional loitering munition which is only suitable for a unitary combat environment is failed to meet the needs of the actual warfare. The trans-medium loitering munition swarm can lead to revolutionary changes of modern military field due to its excellent multi- scenario adaptability. A comprehensive analysis is given from three aspects: the basic design of loitering munition, the unique performance of trans-medium aircraft, and the intelligent management of swarm technology. The core theory and technology of trans-medium loitering munition swarm are studied. Based on the new characteristics of equipment, command, and personnel in modern wars, the future development trend of trans-medium loitering munition swarm is prospected.

Dynamic explosion point localization constitutes a pivotal element in damage assessment. The explosive sound wave, originating from the attenuation of a shock wave, is characterized by supersonic velocity and a defined sphere of influence. Accordingly, the accuracy of explosion point acoustic localization is susceptible to the influence of the explosive shock wave. To explore the impact of the explosive shock wave segment on the acoustic localization outcomes during the explosion point localization process, a wave arrival time-distance model for the attenuation of the shock wave into a sound wave was constructed, predicated on the pressure attenuation law of the explosive shock wave. This model was subsequently integrated into the localization methodology based on the time difference of arrival (TDOA). Utilizing a prototypical arrangement as a case study, the preset explosion point and the acoustic sensor array's position were delineated, and the corresponding wave arrival times were computed. The TDOA-based localization approach was employed to retrodict the position of the explosion point relative to the acoustic sensor array, and the acoustic localization error of the explosion point was ascertained by juxtaposing the retrodicted position with the preset position. Furthermore, by modulating the preset explosion point position and the charge mass, the influence of the explosive shock wave on the acoustic localization error was scrutinized. The research findings suggest that the charge mass and the distance from the explosion center are the predominant factors influencing the localization error. As the scaled distance escalates, the localization error induced by the shock wave exhibits a diminishing trend. When the scaled distance surpasses 18.45, the relative distance error can be mitigated to below 1%. It is anticipated that these findings will serve as a reference for the systematic error correction of explosion point acoustic localization, thereby enhancing the computational precision of explosion point acoustic localization.

In order to improve the survivability of underground protection engineering, it is necessary to accurately consider the damage to the structure caused by the continuous action of penetration and explosion. Through the SPH-FEM coupled numerical simulation method, the simulation of the entire process of penetration and explosion of underground structures is realized, which solves the simulation problem of high intensity and large deformation in the vicinity of the invasion and explosion by the traditional finite element method. According to the empirical formula, the validity of the model is verified. The results show that the penetration projectile has a sealing effect on the rock mass, which enhances the damage effect. SPH algorithm compensates for the penetration hole unloading defect of the erosion algorithm for the penetration explosion process, and more accurately simulates the joint effect of penetration explosion; pouring separately from the straight wall can reduce structural damage; In addition to arch feet, the vault and spandrel are the weak parts of the straight wall arch structure under the action of penetration explosion. The research results can provide a basis for the design of underground protective structures.

In this paper, a trajectory optimization method of hypersonic glide missile is put forward by using penalty function method to hand non full course flying height and angle of attack constraints, which is based on Gauss Pseudo-spectral Method and takes into account multi phases, multi complex constraints and penetration mission-oriented requirements and so on. Its simulation results show that all constraint indexes are effectively controlled, and the penalty function method has more advantages in handling mission segmented constraints compared to conventional segmented constraint methods, which verified the effective coverage ability of the method under different ranges, launch heights and target heights.

Artificial intelligence technology is widely used in the military field, which significantly improves combat efficiency and promotes the development of military technology. The US military is in a leading position in the research and application of artificial intelligence technology in the military field, which was discussed in detail. The application of artificial intelligence technology in intelligence, surveillance and reconnaissance, logistics support, cyber operations, command and control, semi-autonomous and autonomous vehicles and autonomous weapons and other fields are deeply analyzed, and the future development trend of artificial intelligence technology in the military field is predicted. Finally, it points out the guiding and referential role for the domestic military field to carry out artificial intelligence technology research.

According to the current development trend of air-to-air missile, the tactical characteristics of the fifth generation air-to-air missile based on ramjet are analyzed, and the air-to-air missile mission (air-to-air combat and ground attack) is given. With reference to “meteor” air-to-air missile, considering the basic characteristics of small size, long-range and high-speed of future embedded long-range air-to-air missile, the calculation model of ramjet is established with two-dimensional three wave system inlet, side intake cavity combustor and axisymmetric Laval nozzle. The three-dimensional three wave ramjet (small size, diameter 167 mm) at high Mach number (3.0~5.0) is completed. The feasibility of the ramjet as an embedded long-range high-speed air-to-air missile in the future is preliminarily verified by dimensional numerical calculation and analysis.

Because of low cost and flexible operation mode, more and more loitering munitions have been used in local conflicts worldwide in recent years, which has attracted wide attention. This paper introduces the development status of main foreign loitering munitions in the world, involving products of the United States, Israel and other military powers which include the Switchblade series, Coyote series, KUB-BLA series, Lancet series, Harop and Hero series of loitering munitions. Based on the introduction, the paper provides analysis of the development status of foreign loitering munitions, and puts forward the future development trend in the aspects of low cost, serialization, multi-platform delivery, stealth development and swarming operation.

The dynamic behavior of hemispherical resonator comprises the physical basis of hemispherical resonator gyros (HRG). This paper concerns the common problems that exists in the domestic researches of dynamic modeling of HRG to date, such as the lack of specific sources of reference, plenty of ambiguous deductions (some are even incorrect), hence the derivation process of dynamic modeling of resonator is carefully presented in detail. The paper summarizes the general background knowledge of relevant disciplines, and teases out two main types of modeling thoughts, in the sake of providing a theoretical support for the subsequent researches and engineering applications. Firstly, the elastic shell theory used as a general basis in dynamic modeling of hemispherical resonator is introduced, including the elastic geometric equations that describe the relationship between strain and displacement and the Hooke’s law that relates strain to stress; then the modeling method based on the d’Alembert principle commonly used in early theoretical researches is presented, and the second-order motion equations of resonator is obtained by establishing equilibrium equations and load analysis; finally, the modeling method based on Lagrangian mechanics which is inspired from aboard research is introduced, and the second-order motion equations are derived by calculating the kinetic and strain energy of the overall resonator with substitution of the Lagrangian equations. The latter method is increasingly popular by domestic researchers in recent years.

Rapid development of UAV swarming technology will provide new operational mode for the future battlefield, this paper mainly introduces the status of the UAV swarming operation systems under development in the military powers such as the United States, Russia, Israel and Britain, including the Gremlins, Coyote and Lightning UAV swarm programs, and also introduces the loyal wingman programs such as Skyborg,Mosquito and S-70. In addition, the introduction of the Golden Horde ammunition swarm program based on UAV swarming technology is presented. On this basis, the future development trend of UAV swarming operation system is summarized and analyzed in the aspects of modular design, low-cost development, multi-platform application and cutting-edge technology exploration.

This paper proposes a new kind of anti-interception communication system based on Multi-layer weighted-type fractional Fourier transform (WFRFT) and multiple input multiple output (MIMO). ML-WFRFT improves anti-interception performance of the signal and MIMO improves spectrum utilization. The recognition method based on higher-order cumulants (HOC) is improved, and the anti-interception performance of the communication system is quantitatively analyzed through the recognition probability. As the modulation order increases, the anti-intercept performance is continuously enhanced. When the two modulation orders are 0.7 and 0.8, respectively, the signal-to-noise ratio is in the range of [0,2], the correct recognition probability of QPSK signal is less than 0.06.

Aiming at the problems of uncontrollable drop point and insufficient strike accuracy of the traditional terminal sensitive projectile, this paper proposes a parafoil based terminal sensitive projectile drop point control technology, which adopts parafoil instead of traditional parachute to achieve accurate control of its drop point. Based on the proposed parafoil-missile system, this paper designs an accurate parafoil-missile yaw angle controller based on active disturbance rejection control technology, which can offset the interference caused by the external wind field and compensate for the initial position error of the non-sensitive missile, so as to achieve accurate autonomous control of the system. Based on the above research content, the parafoil- missile system is built in this paper, and the actual airdrop experiment is carried out. In the experiment of airdrop, the error of the final landing point of the parachute-projectile system is less than 30 meters, and the minimum error of the air level is less than 4 meters, which proves the effectiveness of the proposed algorithm and provides a new idea for the design of smart ammunition in China.

In order to investigate the blast resistance of a 316L stainless steel honeycomb sandwich structure, a honeycomb sandwich structure was designed and fabricated using 316L stainless steel powder by selective laser melting (SLM). Concurrently, solid panels of equivalent surface density were produced by this method and constituted the control group. The mechanical behavior of the structure under near-field static explosion load is obtained through static explosion experiments and LS-DYNA simulation experiments, and the propagation mode of the stress wave within it is investigated in order to elucidate the underlying anti-explosion principle. Moreover, optistruct is utilized to optimize the topology and structure of the structure, with the objective of enhancing its blast resistance. The findings indicate that the backplate deflection of the porous sandwich structure is diminished by 13.2% in comparison to that of the plate with isoplanar density, thereby enhancing blast resistance. The established numerical model of fluid-solid coupling is capable of describing the three phases of the static explosion experiment, namely the shock wave propagation phase, the fluid-solid coupling phase, and the inertia phase. The explosion experiment yielded definitive results at the center of the target plate, thereby demonstrating that the "川" crack is caused by residual core layer extrusion. Moreover, the core layer deformation failure mechanism for the honeycomb panel was observed to manifest as in-plane stretching and tearing. The optistruct optimization results demonstrate the formation of a triangular skeleton and circular holes, alternating with corrugated plates. The structure, optimized for a corrugated core target plate, displays enhanced resilience in comparison to the optimization of a traditional honeycomb sandwich panel. The explosion load backboard deflection exhibited a 25.4% reduction, the peak pressure behind the plate demonstrated a 17.6% reduction, and the blast resistance was significantly enhanced. In comparison to honeycomb panels, the circular hole structure has been demonstrated to reduce the backplane deflection by 38.1%, while the triangular hole structure has been shown to reduce the peak pressure behind the plate by 22.4%.

For loitering munition patrol flight trajectory path planning algorithm design and combat mission scenarios, combined with a space based on 2D and 3D digital terrain model, based on the nature of ants foraging path planning algorithm of the shortest path theory, implement cruise missile threat to the established operational area designated objectives cruise flight path planning of obstacle avoidance. The correctness and effectiveness of the ant colony algorithm are verified by the flight simulation and analysis of the patrolling missile in the established environment.

This article proposes a heading calculation and integrated navigation algorithm based on continuous matching, which realizes the use of small field of view guided cameras to calculate the heading and provides a low-cost heading measurement and integrated navigation solution for unmanned aerial vehicles. The algorithm first calculates the attitude increment based on the essential matrix obtained from continuous matching, and further calculates the heading angle of the current frame through the first frame attitude matrix and joint calibration matrix. Based on this, a fusion algorithm for MEMS navigation solution and visual continuous matching is designed based on inertial navigation attitude filtering. To verify the accuracy and computational efficiency of the algorithm proposed in this paper, an inertial/visual combination device and a captive flight experimental system are constructed. The flight experiment results show that for cameras with a pixel count of 1 920×1 080, the matching success rate reaches 99.6% during flight at an altitude of 80~200 m. The heading calculation accuracy is better than 0.21° and the update frequency is better than 20 Hz during half hour navigation. Compared with traditional methods, it has a higher matching success rate, heading calculation accuracy, and lower time consumption.

Target detection in remote sensing image (RSI) is an important and challenging research. Aiming at the problems of relatively small targets, uneven non-target, complex background and diverse deformation in RSI, a dilated spatial pyramid pooling U-Net (DSPPU) model is constructed for multi-target detection in RSI. In DPPU, dilated multi-scale convolution is used to extract the classification features of multi-scale targets, and dilated spatial pooling pyramid (DSPP) module is used to enlarge the convolutional receptive field to extract more adequate target features. Moreover, attention mechanism, residual connection and skip connection are used to fully retain the sensitive features of the RSI extracted by the convolutional layer. Experimental results on EORSSD, a public remote sensing image database show that the proposed method can detect multi-scale objects from complex and diverse RSI with a detection accuracy of 96.56%.

Image matching plays a vital role in UAV visual navigation. There have been many excellent image matching algorithms in this field, but there are few reports on heterogeneous image matching in season-changing. In order to further expand the current research work in this field, an image matching algorithm based on fuzzy information granules is proposed to solve the problem of heterogeneous image matching in season-changing. Firstly, according to the ground resolution of the satellite image and the UAV aerial image, the scaling factor of the UAV aerial image is determined, and then the scale preprocessing of the UAV aerial image is carried out; Secondly, an image matching method is established based on fuzzy information granules, and similarity matching is performed on the extracted edges to obtain the matching position between the UAV aerial image and the satellite image; Finally, validation is performed on winter and summer UAV aerial imagery and satellite imagery datasets. Experimental results show that the algorithm has strong robustness, improves image matching accuracy, and provides a new idea for UAV visual localization.

The dynamic load has a significant impact on the structural security and measurement accuracy of the hinge moment balance in wind tunnels on the vehicle. To solve the dynamic load problem, a monitoring and prewarning system for dynamic load in hinge moment wind tunnel test is developed. Designing scheme of the software and hardware, and dynamic data processing method and critical value setting method for the monitoring and prewarning system are introduced in detail, and the system is experimentally verified. The study results show that the monitoring and prewarning system can effectively provide an early warning of the dynamic load that exists in hinge moment wind tunnel test, and adjusting the inherent frequency of the control surface/balance system away from the aerodynamic excitation frequency of flow separation can ensure the safety of the test and reliability of the test data.

In order to explore the after-effect debris cloud characteristics of explosionally-formed projectile (EFP) with dense head and small aspect ratio, the FEM-SPH algorithm was used in this study to analyze the debris cloud formation process of EFP simulated projectile with an aspect ratio of 1.2 in red copper and nickel alloys. The study found: the fragment cloud after penetration of a projectile with a small aspect ratio presents an elliptic structure composed of tiny projectiles and fragments of the target plate. The increase of projectile size and penetration speed leads to the formation of more and higher fragment clouds behind the target. The residual nickel alloy projectiles exist in the head of the fragment cloud in an upset shape, causing secondary penetration of the target, while the red copper fragments have a greater degree of fragmentation. To form a large area of damage to the aftereffect target, when the projectile density is constant, the strength of the target plate mainly affects the axial expansion ability of the debris cloud, and for different projectile target materials, the radial expansion ability of the debris cloud mainly depends on the density ratio ρ_b. The research conclusion is of great significance to the design of EFP warhead’s after-effect power.

The traditional damage assessment methods can not assess the overall functional damage of light armored vehicles. Based on the requirement of “Serious Damage to Light Armored Vehicles”, through the evaluation and analysis of the dynamic damage probability of blast-fragmentation warheads from the aspects of structural damage, fragmentation damage, biological damage, impact and overpressure, the comprehensive damage assessment system of light armored vehicles are constructed. The criterion can comprehensively judge the damage grade of light armored vehicles from a single damage mode. According to the protection characteristics of light armored vehicles, the infantry vehicle is selected as a typical target to carry out target vulnerability analysis.And the equivalent target is designed and fired with projectile which carrying blast-fragmentation warheads. The damage conditions of its structure, biology, fragmentation, overpressure and overload are tested, which verifies that the comprehensive damage assessment criteria can accurately evaluate the damage grade of light armored vehicles. It has certain guiding significance to the damage assessment and analysis of light armored vehicles.

In order to improve the penetration ability of multiple explosive formed projectile (MEFP) to armored targets, based on the design of end face MEFP, a combined end face ring double layer MEFP charging structure was constructed, which could form one main EFP and 24 auxiliary EFP in the circumferential direction, and could achieve multi-point damage to armored targets. ANSYS/LS-DYNA software was used to study the influence of the structural parameters of the cartridge cover on the molding effect and penetration performance of the MEFP warhead. The results show that when the wall thickness of the auxiliary cover increases, the projectile velocity of the auxiliary cover gradually decreases, the projectile dispersion angle of the middle auxiliary cover gradually decreases, and the projectile dispersion angle of the outer auxiliary cover gradually increases. When the radius of curvature of the auxiliary hood increases, the projectile velocity of the auxiliary hood gradually decreases, the angle of departure of the intermediate auxiliary hood gradually increases, and the angle of departure of the outer auxiliary hood gradually decreases. When the span of the auxiliary hood increases, the projectile velocity of the auxiliary hood gradually increases, the angle of dispersion of the intermediate auxiliary hood projectile decreases, and the angle of dispersion of the peripheral auxiliary hood projectile increases. The MEFP can penetrate 15 mm thick 45# steel target, thus effectively increasing the number of damage elements and damage area. The annular double layer MEFP structure of the end face combined charge structure has important reference significance for the warhead design of the terminal sensitive bomb.

To improve the area search efficiency of UAV swarms in unknown environments, a multi-UAV cooperative area search strategy is proposed. Firstly, according to the demand of area search task, an area information map containing three attributes of area coverage, area uncertainty and target existence probability is established; secondly, with the goal of maximizing search efficiency and minimizing energy consumption during UAV search, a rolling time-domain optimization objective function for UAV area search is established to guide UAVs to make online decisions on search routes; then, for the traditional swarm intelligence optimization algorithm that tends to Then, to address the shortcomings of the traditional swarm intelligence optimization algorithm, which is prone to fall into the local optimum, we design a hybrid differential evolutionary particle swarm algorithm to solve the multi-objective optimization problem online, improve the optimization performance of the algorithm, and thus improve the search efficiency of the UAV. Finally, the proposed algorithm is verified through numerical simulation experiments, and the simulation results show that the multi-UAV cooperative area search strategy based on differential evolutionary particle swarm hybrid algorithm designed in this paper has higher area search efficiency compared with the traditional swarm intelligence optimization algorithm.

Micro Optic Gyroscope is a new type of miniature and integrated angular velocity sensor based on waveguide rings and Sagnac effect. Because of their potential advantages in comprehensive performance, MOGs will be widely used in smart ammunition,unmanned air and underwater vehicles and other small platforms. This paper briefly describes the basic principles of three types MOGs. The progress made by domestic and foreign research institutions in technical schemes of three type MOGs, the schemes of key components such as various optical waveguides and integrated optical devices and their manufacturing technology are introduced in detail. The development prospect of MOG is prospected.

In order to explore the influence of liquid-column equilibrium on the firing stability of single-barrel weapons, the dynamic characteristics of the liquid-column equilibrium weapon are studied. By analyzing the launching process of a single-barrel weapon using the liquid equilibrium launch technology, the force model of the launching process of a single-barrel weapon is established. The simulation model of gas-liquid two-phase flow in the nozzle is established by using fluent fluid simulation software, and the influence characteristics of liquid working medium on the thrust of the nozzle are mainly analyzed; and the variation law of rifling lateral force of individual barrel weapon under the influence of liquid column balance body is analyzed.The results show that the liquid-column balance has great influence on the firing stability of the single-barrel weapon, and further optimization design is needed.

Micro-accelerometers are widely utilized in fields such as inertial navigation due to their compact size and high measurement accuracy. MOEMS (micro-opto-electro-mechanical system) accelerometers, based on optical measurement principles, offer enhanced measurement accuracy and are less susceptible to electromagnetic interference, making them highly promising for future development. However, external environmental changes, particularly fluctuations in temperature, can adversely affect the performance of micro-accelerometers. High-precision micro-optical accelerometers are especially sensitive to temperature variations due to their optical cavity length, which can lead to a decrease in detection accuracy. Therefore, improving temperature stability is crucial. Temperature control is the most effective method to mitigate the thermal effects on micro-optical accelerometer chips. This paper proposes a closed-loop temperature control scheme based on genetic algorithms and fuzzy PID (proportional-integral-derivative) control for a sandwich-structured chip-level packaged MOEMS accelerometer. The work involves designing a temperature control circuit, with a microcontroller serving as the main control unit, determining the controlled object model, then identifying the transfer function as well as tunning and debugging the system's temperature control parameters. The sandwich-type micro-optical accelerometer packaging structure studied in this paper provides favorable conditions for temperature control. The temperature control scheme with PID control parameters optimizes based on fuzzy logic and genetic algorithms exhibits excellent control performance and shorter regulation time. Theoretically, it significantly reduces the temperature control error by several orders of magnitude, effectively minimizing the thermal effects on high-precision micro-optical accelerometer chips. This temperature control scheme also demonstrates strong robustness, making it practically applicable to other micro-sensors with small, semi-enclosed structures.

In order to study the penetration power of ogive-nose projectile under the condition of wide velocity range, the ANSYS/LS-DYNA finite element analysis software is used to simulate the penetration of the ogive-nose projectile into concrete target plate without considering the impact response characteristics of its range. The effects of projectile material, caliber radius head, length-diameter ratio and mass on the penetration performance are studied under the impact velocity of 2.0Ma~6.0Ma. The results show that with the increase of the target velocity, the dimensionless penetration depth of the projectile increases first and then decreases. At the same time, compared with 93 tungsten alloy and TA7 titanium alloy, the penetration performance of G50 alloy steel is better. The caliber radius head has a significant effect on the dimensionless penetration depth during low-speed penetration, and the degree of influence is reduced during ultra-high-speed penetrating. The optimal caliber radius head ratio of the projectile is 3~4. The length-diameter ratio is positively correlated with the penetration depth at low speed penetration and negatively correlated with the penetration depth at ultra-high speed penetrating. The dimensionless penetration depth decreases with the increase of the length-diameter ratio, and the optimal length-diameter ratio of the projectile is 4~5. The mass has a significant effect on the depth of penetration, and has little effect on the dimensionless depth of penetration and the critical transformation rate. The critical transformation rate appears at 3.5Ma~4Ma.

With the continuous progress of computer hardware and software technology, the task functions integrated in the airborne computing platform are increasing day by day, resulting in the scale and complexity of the internal computing needs of the platform. In the face of the rapid growth of intelligent applications, the traditional single processor architecture is no longer enough to cope with a variety of complex tasks. Therefore, based on the OpenVPX standard, this study defines and designs a 3U heterogeneous fusion processing module that conforms to the hardware open architecture to meet the needs of a variety of complex tasks. This research also proposes a heterogeneous computing resource pooling technology, which aims to achieve rapid deployment and efficient operation of multi-type task applications, while reducing communication latency, and significantly improving the processing power and applicability of computing platforms. Experimental verification shows that, compared with multi-CPU architecture, the processing time of the heterogeneous fusion processing module designed in this paper is about 4.8 times shorter when executing specific neural network algorithms, which proves that its performance is significantly improved. The results of this study not only demonstrate the significant performance advantages of heterogeneous fusion processing modules in airborne intelligent computing applications, but also provide innovative solutions and technical support for the future development of aviation computing platforms.

To address the issue of hit accuracy of terminal guidance phase of a rotor loitering terminal sensitive projectile, that is jointly affected by detection system errors and attitude disturbances, this study focuses on the dynamic factors which affect the dispersion of EFP warhead destruction element. In the study, a dynamic impact point model is established based on the seeker system detection error, airframe's spatial attitude disturbances, implicated motion deviation of the warhead destruction element and system latency, meanwhile the trajectory of missile target rendezvous and swinging attitude correction in the final guidance phase are utilized. By taking full advantage of airframe's attitude information and with the help of experimental flight data, the model can be used to analyze the influence of each factor on the point of impact. Simulation and analysis results demonstrate that, under certain random disturbances, the primary factor causing aiming error is the airframe's attitude disturbances and rendezvous trajectory deviation, so that gain the attitude angle control requirements necessary to achieve a desired hit rate on a typical armored target. This study provides a theoretical basis for the research on guidance law and trajectory prediction control of loitering terminal sensitive projectile.

The combination of semi-active laser detection guidance and infrared imaging guidance can obtain active and passive detection modes, improving the seeker’s all-weather detection ability, anti-interference ability and target capture tracking ability. The performance of the optical system in the laser infrared composite guidance seekers directly determines the detection range, target recognition and hit accuracy of the guided weapon system. The composite seeker adopts a separate aperture optical system, and each channel adopts a separate optical structure and detector, which is easier to achieve, but it will bring problems such as spatial registration, and the system volume and mass are large. In this paper, a common aperture optical structure is adopted, and the transmittance of laser (1.064 μm) and infrared (8~12 μm) spectral bands is considered, and the composite optical design is achieved by using a focal length matching method to share a fairing and a high transmittance lens. The laser signal is focused through the fairing and the first lens, which is then reflected to the side of the lens barrel by a planar mirror located in the center of the aperture, which is received by a four-quadrant detector. The infrared light signal passes through the periphery of the aperture and is imaged onto an uncooled focal plane detector by three lenses containing diffractive lenses. The whole optical system through -45~60 ℃ no heating design, the overall structure of the optical system is simple and compact, small size, the total length is less than 86 mm, the caliber is less than 62 mm. The optical system design can be applied to laser infrared composite guided rockets, missiles and other weapon platforms, providing technical reserves for high-tech warfare with high efficiency and cost.

Aerial remote sensing image aircraft detection (ARSIAD) is an important and challenging research. Aiming at the problems of existing ARSIAD methods, such as blurred edges of detection aircrafts, low detection accuracy of small aircrafts and insufficient use of global context information of aerial remote sensing image (ARSI), an ARSIAD method based on feature fusion of multi-scale U-Net and Transformer (MSU-Trans) is proposed. In MSU-Trans, multi-scale convolution module inception is used to extract the classification features of various aircrafts in ARSI, Transformer is used to enhance the global semantic detection performance of the model, and feature fusion module is used to integrate high-level and low-level features to obtain complete edge and texture features of aircraft images, and improve the overall detection performance of MSU-Trans. It integrates the strong local feature extraction capability of multi-scale U-Net and strong global context dependency extraction capability of Transformer to improve the overall detection performance of MSU-Trans. Experiments on an ARSI set show that MSU-Trans has higher detection accuracy than U-Net, multi-scale U-Net and attention U-Nets, with the accuracy over 95%. This method provides some technical support for ARSIAD.

The energy output mode of the dispersal charge determines its explosive driving capacity to the dissemination medium, while the traditional circular cross-section dispersal charge structure has the problem of a unique circumferential output mode of explosive energy. In this work, the energy output mode is changed by changing the cross-section shape of the dispersal charge. The explosive driving effect of three kinds of dispersal charge structures (circular, star and flower shaped) on the dispersal medium is studied. The fill-to-burster mass ratio of three kinds of dispersal charges is kept at 2%. It is shows that the ability of the charge to drive the dispersal medium through explosive is determined by its cross-sectional area, and is little affected by the cross-section shape of the dispersal charge. The reason is that the energy inhomogeneity of shock wave caused by the non-circular charge structure is rapidly homogenized during its propagation. Additionally, when the shell is engrooved on its external surface, the number of primary jet structures is the same as the number of grooves, and has little relationship with the sectional shape of the charge structure.

The dependence of modern warfare on missiles continues to increase, and scientific analysis of the influencing factors of missile misses is of great significance for improving the accuracy of missile hits. With the continuous development of new technologies such as cloud computing, edge computing, Internet of Things and big data mining, especially the implementation of digital twin technology in various industries. This article attempts to use digital twin technology to study the key factors affecting missile misses. First, build a digital twin model of the missile based on the concept of cloud-side collaborative computing. Realize the data collection of the missile physical entity, edge-side data over-limit judgment, and cloud miss-target diagnosis and analysis on the three levels of “cloud-side-end”, thereby completing the mapping and data interaction between the missile physical entity and the cloud digital twin model. At the same time, the degree, tightness and betweenness of nodes in the undirected graph can be used to quantitatively calculate the influence of each over-limit parameter on the missile’s missed target, so as to obtain key parameters and parameter combinations. Finally, taking the XX anti-tank missile as an example, the feasibility and effectiveness of the proposed method are verified.

To investigate the damage effectiveness of low, slow and small Unmanned Aerial Vehicles(UAVs) under fragmentation strikes, an evaluation model is established to comprehensively assess the damage effectiveness of fragments against UAVs. Numerical simulations are conducted to analyze the damage probability of a single fragment impacting various UAV compartments under different initial velocities, diameters, and material conditions, followed by extensive shooting simulations using the Monte Carlo method, with thousands of iterations to ensure statistical robustness. The results indicate that the initial velocity, diameter, and material of the fragment significantly influence the damage probability. An increase in initial velocity and diameter notably enhances the damage probability; however, the effectiveness tends to saturate within the velocity range of 900~1 500 m/s and diameter range of 4~8 mm, showing diminishing returns beyond these thresholds. The use of multiple fragments significantly increases the damage probability, suggesting that an increase in the number of fragments leads to a substantial improvement in damage effectiveness, making the quantity of fragments a crucial factor in determining the overall damage outcomes. Based on these findings, selecting fragment diameters between 2 mm and 4 mm, initial velocities between 600 m/s and 900 m/s, and appropriate materials can optimize the design of fragmentation warheads, thereby significantly enhancing their damage effectiveness against UAVs. This study provides a scientific basis for the precise evaluation of UAV damage effectiveness, offering valuable insights for the development of more effective countermeasures and supporting informed decision-making in combat scenarios to ensure enhanced operational effectiveness and strategic advantages.

The fiber optic gyroscope (FOG) serves as a high-precision angular velocity sensor and plays a critical role in inertial navigation, positioning and orientation, and attitude control systems. However, the thermally induced bias drift error in the optical path of FOG is a critical factor limiting the improvement of gyroscope precision. Through the analysis of Shupe effect, Mohr effect and cross term effect, the mechanism of the thermally induced bias drift error is explained. Factors influencing bias drift are summarized from both internal causes (geometric and physical symmetry) and external causes (environmental impacts and physical field excitation). Furtherly, detection technologies used to detect the key factors (specifically fiber coil strain and temperature distribution) of the internal and external causes, such as Brillouin optical time domain analysis (BOTDA), optical frequency domain reflectometry (OFDR), and Raman optical time domain reflectometry (ROTDR), is reviewed. In the end, various measures and methods to suppress bias drift, including optimization of fiber coil winding processes, application of specialty fibers, adjustment of tail fiber length, and temperature compensation techniques, is discussed. These studies lay a foundation for further improvements in the measurement accuracy and environmental adaptability of navigation-grade FOG under harsh conditions.

In order to investigate the launch response characteristics of vehicle-mounted missile weapon system under following-up and time-varying wind load, a finite element simulation model of vehicle-mounted missile weapon system was established in ABAQUS based on dynamics principle and finite element method, and the ABAQUS user subroutine was innovatively used for joint secondary development to realize the real-time loading of the following-up wind load. The influence of wind force on missile attitude and the vibration of launcher are analyzed under different wind speed, eccentric thrust angle and ground angle. The results show that the wind load not only has a great influence on the attitude of the missile out of the barrel and the vibration of the launch barrel, but also promotes or hinders the launch accuracy deviation caused by the eccentric thrust Angle and the inclination of the ground.

Guided terminal-sensitive munition as a new type of intelligent munition, it has become an important subject for the technician of the firing table. In this paper, the working principle, trajectory characteristics and launching process of guided terminal-sensitive projectile are described. According to the ballistic characteristics of guided terminal-sensitive projectile, the scheme of guided terminal-sensitive projectile table and the precision requirement of table are put forward. It lays a technical foundation for the compilation of guided terminal-sensitive projectile table, at the same time, it also provide a design reference for other similar guided ammunition firing table compilation.

Heterogeneous scene matching, as an important auxiliary navigation method, has been widely studied. However, due to the influence of nonlinear radiation distortion and geometric deformation between heterogeneous image pairs, achieving heterogeneous image matching remains a challenging task. To address these issues, a heterogeneous scene matching method with rotation and scale invariance is proposed to simultaneously estimate the rotation, scale, and displacement variations between heterogeneous image pairs. Firstly, based on the local structural relationships of the image, local self-similarity descriptors (LSS) are used for feature description to resist the influence of nonlinear radiation differences and local deformations. Combined with the logarithmic polar coordinate transformation, the overall rotation and scale changes of the image are orthogonally expanded and represented separately in the Cartesian coordinate system. Finally, by utilizing the continuity of displacement estimation, rotation, and scale estimation, a five-dimensional feature descriptor is constructed and using phase correlation method estimates the variation of image rotation, scale and displacement simultaneously. Experiments conducted on three common types of heterogeneous image matching tasks shows that the proposed method achieves a matching accuracy of at least 4.5% higher than existing state-of-the-art methods tech, that highlights its effectiveness in the field of heterogeneous scene matching.

In response to the problem that existing motion blur removal algorithms for dynamic scene images are difficult to effectively restore non-uniform composite motion blur, a new motion offset estimation framework is proposed by introducing camera exposure trajectories to represent the motion information contained in blurred images. This framework is used to model pixel motion offsets of latent clear images at multiple discrete time points. A multi-scale single image deblurring network framework integrating pixel motion offset information is proposed based on the estimated motion offset information. This framework fuses motion offset information during the decoding stage through deformable convolution, giving each pixel different motion constraints. Through the multi-scale encoding and decoding structure of the network, the predicted values of each pixel on each scale are obtained, achieving end-to-end blur image restoration. The experimental results on GoPro and HIDE datasets show that this algorithm can effectively improve image quality, with an average increase of 1.9 dB in peak signal-to-noise ratio and 0.03 in structural similarity.

In order to realize the purpose of the tail cover being side-thrown away from the launch axis during the second ignition of the cold catapult missile, a new type of shroud throwing scheme was proposed: the eccentric tail cover and the nozzle outlet were connected by a sealing plug, and the gas jet was used as the power source to realize the side-throwing separation. Considering the influence of different centroid positions and horizontal lateral winds on the separation process, a three-dimensional tail mask separation model was established, combined with the overlapping dynamic mesh technology, the fluid control equation and the rigid body six-degree-of-freedom motion equation were coupled, and the tail cover separation process was numerically simulated. The variation curve of the motion characteristics of the tail cover when it is impacted by the jet and the interference characteristics of the tail cover on the flow field of the gas jet are obtained. The results show that the scheme can achieve the purpose of lateral throwing of the tail cover away from the emission axis. With the increase of the degree of centroid bias, it is beneficial for the jet state at the axis to be stable first. When the centroid position is greater than one-half radius, the jet has a greater accelerating rotation effect on the tail cover than the translational rotation, which increases the instability of the tail cover during the movement, and the tail cover tends to be close to the axis in the later stage of separation. The horizontal lateral wind is conducive to the tail cover to stay away from the axis, and the trend of moving away from the axis is more obvious with the increase of wind speed.

In order to investigate ballistic characteristics of a projectile body penetrating concrete target under combined action of angle of attack and angle of impact, the finite element software LS-DYNA is used to numerically simulate the projectile body penetrating concrete target with different angle of attack and angle of impact at 1 000 m/s. The study focuses on influence of the angle of attack and the angle of impact on the axial penetration depth, radial deviation distance and deflection angle of the projectile body, by analyzing forces applied on the projectile body during the penetration process and axial resistance and radial resistance as well as the deflection moment of the projectile body, and gains a rule of their influence on the ballistic characteristics. The conclusions are as follows: with the increase of the impact angle, the influences trend of the angle of attack on the deflection angle of the projectile body is significantly increased. In a certain range, the attack angle whose initial direction is opposite to the impact angle can improve the penetration ability of the missile body, while the attack Angle whose initial direction is the same as the impact angle can weaken the penetration ability. When the impact angle is too large, no matter whether the direction of the initial attack angle is the same with the impact angle or not, the penetration ability will be weakened, and it will be more obvious with increase of the impact angle. The research results can provide some references for the development of ground-penetrating bomb.

In order to improve the throughput of long-distance relay system, a UAV network coding wireless relay (UNCWR) algorithm is proposed, which can improve the throughput by 50% compared with the traditional relay mode. After optimizing the model, a UAV hybrid coding wireless relay (UHCWR) algorithm is proposed. UHCWR algorithm can choose the best data transmission mode after judging the channel conditions. Compared with UNCWR algorithm, the node throughput is increased by 23%.