目标起伏特性对雷达威力性能的影响分析

介绍了典型雷达目标RCS起伏模型,阐述了起伏目标在实际中的应用,建立了目标损耗和雷达作用距离之间的关系,为不同目标的等效替代推算提供了理论依据.验证了雷达目标满足卡平方分布时发现概率和起伏因子之间的关系.并针对不同类型的起伏目标,建立了雷达探测距离和发现概率之间的关系,为雷达的威力检测和飞行目标的航线设计提供依据.     

基于多假设跟踪弹道导弹主动段跟踪算法

针对弹道导弹主动段防御中多枚弹道导弹同时跟踪问题,提出了基于多假设思想的主动段跟踪算法.重点阐述了该算法中假设生成、假设概率计算、假设约简以及假设剪枝等环节.从工程实用的角度出发,采用求解一个线性分配问题(LAP)方法得到M个最优假设,大大减少了假设数量,并运用N-scan回溯剪枝方法对假设进行剪枝,确定要输出的航迹,提高了算法的效率和实用性.仿真实验表明,该算法能够对主动段多枚弹道导弹目标准确关联跟踪.     

3D laser scanning strategy based on cascaded deep neural network

A 3D laser scanning strategy based on cascaded deep neural network is proposed for the scanning system converted from 2D Lidar with a pitching motion device. The strategy is aimed at moving target detection and monitoring. Combining the device characteristics, the strategy first proposes a cascaded deep neural network, which inputs 2D point cloud, color image and pitching angle. The outputs are target distance and speed classification. And the cross-entropy loss function of network is modified by using focal loss and uniform distribution to improve the recognition accuracy. Then a pitching range and speed model are proposed to determine pitching motion parameters. Finally, the adaptive scanning is realized by integral separate speed PID. The experimental results show that the accuracies of the improved network target detection box, distance and speed classification are 90.17%, 96.87% and 96.97%, respectively. The average speed error of the improved PID is 0.4239°/s, and the average strategy execution time is 0.1521 s. The range and speed model can effectively reduce the collection of useless information and the deformation of the target point cloud. Conclusively, the experimental of overall scanning strategy show that it can improve target point cloud integrity and density while ensuring the capture of target.     

Adaptive sliding mode control of modular self-reconfigurable spacecraft with time-delay estimation

The reconstruction control of modular self-reconfigurable spacecraft (MSRS) is addressed using an adaptive sliding mode control (ASMC) scheme based on time-delay estimation (TDE) technology. In contrast to the ground, the base of the MSRS is floating when assembled in orbit, resulting in a strong dynamic coupling effect. A TED-based ASMC technique with exponential reaching law is designed to achieve high-precision coordinated control between the spacecraft base and the robotic arm. TDE technology is used by the controller to compensate for coupling terms and uncertainties, while ASMC can augment and improve TDE’s robustness. To suppress TDE errors and eliminate chattering, a new adaptive law is created to modify gain parameters online, ensuring quick dynamic response and high tracking accuracy. The Lyapunov approach shows that the tracking errors are uniformly ultimately bounded (UUB). Finally, the on-orbit assembly process of MSRS is simulated to validate the efficacy of the proposed control scheme. The simulation results show that the proposed control method can accurately complete the target module’s on-orbit assembly, with minimal perturbations to the spacecraft’s attitude. Meanwhile, it has a high level of robustness and can effectively eliminate chattering.     

One-bit splitting deceptive jamming against SAR

One-bit quantization is a promising technique due to its performance retention and complexity reduction in a deceptive jammer against synthetic aperture radar (SAR). In this paper, the 1-bit quantization technology is utilized to agilely generate split false targets in the SAR imagery once the radar signal is intercepted, which reduces the complexity of the jammer significantly with guaranteed focusing quality. A single-frequency threshold is used to decompose harmonics incurred by the 1-bit quantization, and its parameters are adjusted through different pulse repetition intervals to provide steerable modulations. In this way, the SAR signal is split into coupled false scatterers during the 1-bit interception. By further deploying amplitude, time-delay, and Doppler frequency modulations on the 1-bit intercepted signal, the split false targets are created. The proposed approach is compared with different deceptive jamming methods to show its validity in effectiveness and cost, and numerical experiments are also presented for verification.     

网络中心战条件下舰艇编队武器系统可靠度分析

利用可靠度模型对网络化条件下舰艇编队跨平台组织武器通道的可靠度进行了分析。分析表明,在网络中心战条件下舰艇编队武器系统的可靠度有了大幅度的提升。     

无人机虚拟维修训练系统及其HLA设计

以某型无人机虚拟维修训练系统的设计为实例,采用Creator对联邦实体建模,结合动态视景仿真软件Vega Prim e进行环境与目标的驱动,基于高层体系结构HLA对系统的分布式网络互联进行仿真设计,无人机虚拟维修训练系统有效地改善了目前无人机结合实装进行操作训练的局限性。     

基于人工势场的军事态势分析模型

在基于Agent建模仿真方法的战争复杂性研究过程中,为了解决高层指挥控制Agent对军事态势自主分析判断能力的问题,引入了高等物理学中电势场的基本原理来对战场军事态势分析进行建模--并取名为人工势场.介绍了人工势场模型构建的基本原理,结合工程实践详细讨论了该模型在理论和工程实现上的一些基本问题,最后给出了基于该模型的几个简单的分析测试实例.仿真实验证明该模型用于高层指挥控制Agent的实时军事态势分析是可行的.     

高频地波雷达目标高度估计的AR模型方法

高度估计对于高频地波雷获取三维信息、提高预警能力很有意义。然而目标RCS的随机起伏对高度估计产生严重影响,通过对RCS随机起伏的AR模型建模和模型参数的自适应估计,提出了在RCS变化的条件下高度估计的扩展卡尔曼滤波算法。通过Monte Carlo仿真和外场试验数据的处理,验证了该方法对抑制RCS随机起伏、提高高度估计精度的有效性。     

合成孔径雷达的主要发展方向

首先简要介绍了合成孔径雷达(SAR)产生和发展的历程,其次对当前合成孔径雷达研究的一些主要的热点和发展方向:多参数SAR、干涉SAR、超宽带SAR、激光SAR,尤其是小型化SAR进行了适当的归纳和分析,并且相应地给出了部分具有代表性的SAR系统主要的参数,对合成孔径雷达的研究工作具有一定的理论参考价值。