Missile weapon equipment is currently characterized by a trend towards technology-intensive, diverse mission specifications, and complex functionalities. Faced with high-speed technological iterations, the conventional approach of independent development using a single specification suffers from disadvantages such as high development costs, low technological reusability, tight coupling of components, and complex system interconnections. This study focuses on the emerging software-defined system technology, providing a summary of critical sub-technologies including open software-defined system architecture, model-driven plus software-defined system development, software-defined system application service management framework, payload rapid access management based on software-defined, and software-defined elastic network. This study also elaborated on the development status and deficiencies of relevant technologies and analyzed the development trend of software-defined system technology in our country, thus providing a reference for breakthroughs in related technological challenges in missile weapon equipment.

As a core technique for the US military's layout of the aerospace battlefield, the Starlink system will likely subvert the current operational model and break the balance of major powers by penetrating reconnaissance, command, striking, assessment, support and other operational links. This paper has reviewed the basic attributes, development status and capability characteristics of the Starlink system, analyzed its future operational application model referring to the Russia-Ukraine conflict cases, evaluated the threat of Starlink under the future aerospace situation, and proposed targeted new aerospace defense technology. It thus provides the references for the construction of aerospace security under the impact of Starlink.

Since the Israeli-Palestinian conflict in 2023, the “Asymmetric” airstrike weapons represented by rockets and drones have become an important means for Hamas to “resist the strong with the weak”, inflicting more pressure on Israel. At the same time, the Israeli defense system successfully fought against various and multiple “asymmetric” threats in this conflict, demonstrating higher actual combat ability. In this study, the characteristics of “asymmetric” airstrike weapons and features of airstrike operations by Hamas and other “Axis of Resistance” armed forces in this conflict were reviewed and analyzed. Besides, the Israeli defense weapons and features of the “asymmetric” defense system in this conflict were summarized according to public information, thus giving a reference for future military equipment development.

The interception phenomenon of high speed, large manoeuvring and multi-target vehicles attacking from the exo-atmosphere are major challenges in the construction of the current air and space defence system. First, this study summarized the current status of foreign exo-atmospheric kill vehicle technology and flight tests. Then, it reviewed the technical progress of guidance and control methods for single exo-atmospheric kill vehicles and multi-missile cooperation interception methods. Finally, the key technologies for the future development of exo-atmospheric kill vehicles were prospected, thus providing a directional reference for future application.

Shock wave/turbulent boundary layer interaction (SWTBLI) is a prevalent flow phenomenon in hypersonic flights. A flat plate with a compression ramp at the inlet of the engine, control surfaces and so on, has become a typical standard model for studying SWTBLI. In this paper, a direct numerical simulation was conducted to study the hypersonic strong SWTBLI caused by a 40° compression ramp at Mach number 6.0. In the upstream turbulent boundary layer, the near-wall vortical structures performed as streamwise vortices. Once entering the interaction region, the streamwise vortices disappeared, and instead, the three-dimensional flow structures were produced. Under the strong shock wave, the flow separation length exceeds ten times that of the boundary layer thickness. In the downstream of the flow reattachment where the peak of the wall skin friction, the pressure along with its fluctuation was respectively 8.9, 36, and 124 times those in the upstream boundary layer. The intensity of the turbulent kinetic energy in the interaction region was significantly increased by 6.4 times that in the boundary layer. It's concluded that the turbulent kinetic energy results mainly from the shock unsteadiness and the separated shear layer.

To resolve the slave missile localization in master-slave cluster missiles, and considering the dynamic cut-in and cut-out navigation network of master missiles, a distributed cooperative navigation method using the inertial navigation system (INS) and the time-of-arrival (TOA) ranging system was proposed in this study. The method comprehensively considered the navigation parameters and related sensor error models and built an INS-error-system-based linear state space model. A nonlinear pseudo-ranging measurement model was produced based on the inter-missile data link and adopted an extended information filter to acquire the distributed fusion of dynamic information. For the dynamic change of the measurement information nodes, the method adapted to the variations in the cooperative navigation network structure. The results show that the simulation in the cooperative navigation system can accurately estimate the navigation parameters of slave missiles and effectively eliminate the burden induced by the change of information nodes, thus can be considered as a supplementary means of a low-cost slave missile navigation system.

To estimate the initial velocity of separate structural fragments under explosion, a numerical simulation method was used to achieve the charge quantity required for different speeds, and experimental verification was conducted. Based on the numerical simulation method, the formula between the initial velocity of separate structural fragments and the Gurney model under the same charge coefficient was produced. The influence of charge height and area on the initial velocity of a fragment was compared. The velocity of separate structural fragments ranged approximately 14%~18% of the corresponding Gurney model. Under the same charge quantity, the initial velocity of the fragment could be increased by at least 28% when increasing the charge area compared with the charge height. The results show that the numerical simulation is in reasonable agreement with the experiment, and the maximum error is within 3.8%. This paper provides a design reference for the initial velocity and charge of separate structural fragments.

On the basis of analyzing the current situation of the combat effectiveness evaluation of domestic weapons and equipment, and focusing on the characteristics of many influencing factors and a complex index system that is not easy to be quantified of the combat effectiveness evaluation of anti-radiation missiles,this paper sorted out the main aspects of the combat effectiveness evaluation of anti-radiation missiles and the relevant factors affecting the achievement of operational objectives. Then, this study confirmed the indicator system of Combat Effectiveness Evaluation and specified the weight coefficient of different levels for the indicator system using the analytic hierarchy process (AHP) and fuzzy synthetic evaluation method. Finally, an evaluation of combat effectiveness for anti-radiation missiles by Fuzzy-AHP was conducted.

Unmanned aerial vehicle (UAV) cluster systems have advantages in redundancy of capabilities, high destruction resistance, and adaptability to complex scenarios, allowing more efficient mission execution and information acquisition. In recent years, deep reinforcement learning techniques have been combined into UAV cluster formation control methods to treat the drawbacks of cluster dimension explosion and difficulty in modelling cluster systems. However, deep reinforcement learning has problems such as low training efficiency. In this paper, a cluster formation method using an improved proximal policy optimization method was proposed. It could solve the slow convergence problems and neglect of high-value actions of the traditional proximal policy optimization method by using the dynamic estimation method as the evaluation mechanism, and effectively improve the data utilization rate. Simulation results verified the improvement in the training efficiency and sample reuse problems, thus achieving the optimized performance.

Micro-Doppler features provide an inventive basis for identifying helicopters' rotors. The existing research on the echo model of helicopters' rotors is limited to the micro-Doppler effect caused by the tips of rectangular rotor blades. This study has initially established the full-scatterer echo models of rectangular tip rotor, tapered tip rotor, and parabolic swept tip rotor. Then, utilizing the feature extraction operator, a method of " time-frequency analysis (TFA)-normalized time-frequency processing-frequency 'projection and compression' - 'truncation and amplitude calculation' Fourier transform " was adapted to extract micro-Doppler features. It could effectively translate in the time domain while constantly maintaining the amplitude-frequency characteristics. Finally, an algorithm solving compressed sensing problems in target classification was proposed using the alternating direction method of multipliers (ADMM) and was compared with traditional support vector machines. The effectiveness of the proposed approach was acquired from simulation results.

To solve the security problems in the space-air-ground integrated network, this paper proposed a scheme using routing evidence to defend against flooding attacks and grey hole/black hole attacks. The scheme can detect malicious nodes in the ad-hoc network to guarantee the security and reliability of routing. It resolved the shortcomings of the existing schemes and could be adaptively applied in the interruption and delay tolerant network such as the space-ground integrated network. A simulation platform was built in this study, and according to the verification, the proposed scheme can detect more than 90% of the malicious nodes, proving its significant effectiveness.