关于隐身目标检测与跟踪的几点思考

隐身武器装备的出现和发展对传统雷达的检测与跟踪性能构成了严峻的威胁。首先,分析了隐身目标检测与跟踪中存在的一些关键问题;然后,对高机动隐身目标、多隐身目标、机载高脉冲重复频率雷达的多隐身目标等检测与跟踪问题进行了初步的探讨,并提出了一些可行的解决方案。     

Topology optimization of turbine disk considering maximum stress prediction and constraints

For the stress-constrained topology optimization of a turbine disk under centrifugal loads, the jagged boundaries of the mesh and the gray densities on the solid/void interfaces could make the calculated stress field inconsistent with the actual value. It may result in overestimating the maximum stress and thus affect the effectiveness of stress constraints. This paper proposes a new method for predicting the maximum stress to overcome the difficulty. In the process, a predicted density is newly defined to obtain stable boundaries with thin layers of gray elements, a transition factor is innovatively proposed to evaluate the effects of intermediate-density elements, two different stiffness penalty schemes are flexibly used to calculate the elastic modulus of elements, and a linear stress penalty is further adopted to relax the stress field of the structure. The proposed approach for predicting the maximum stress value is verified by the analysis of a structure with smooth boundaries and the topology optimization of a turbine disk. An updating scheme of the stress constraint in the topology optimization is also developed using the predicted maximum stress. Some key ingredients affecting the optimization results are discussed in detail. The results prove the effectiveness and efficacy of the proposed maximum stress prediction and developed stress constraint methods.     

超视距空战条件下舰载机空中巡逻研究

根据超视距空战条件下舰载机空中巡逻的特点,建立舰载机空中巡逻的战术行为模型；采用蒙特卡洛法对巡逻效果进行模拟统计,分析雷达最远发现距离、巡逻区间距、舰载机定常平飞距离、巡逻飞行航线类型与飞行协同方式对舰载机空中巡逻效果的影响；最终给出超视距协同空战条件下,舰载机空中巡逻的组织方法。     

MC-LRF based pose measurement system for shipborne aircraft automatic landing

Due to the portability and anti-interference ability, vision-based shipborne aircraft automatic landing systems have attracted the attention of researchers. In this paper, a Monocular Camera and Laser Range Finder (MC-LRF)-based pose measurement system is designed for shipborne aircraft automatic landing. First, the system represents the target ship using a set of sparse landmarks, and a two-stage model is adopted to detect landmarks on the target ship. The rough 6D pose is measured by solving a Perspective-n-Point problem. Then, once the rough pose is measured, a region-based pose refinement is used to continuously track the 6D pose in the subsequent image sequences. To address the low accuracy of monocular pose measurement in the depth direction, the designed system adopts a laser range finder to obtain an accurate range value. The measured rough pose is iteratively optimized using the accurate range measurement. Experimental results on synthetic and real images show that the system achieves robust and precise pose measurement of the target ship during automatic landing. The measurement means error is within 0.4° in rotation, and 0.2% in translation, meeting the requirements for automatic fixed-wing aircraft landing.Received 5 July 2022; revised 19 August 2022; accepted 27 September 2022.     

基于多DSP的机载SAR距离徙动校正实现方法

针对机载合成孔径雷达(SAR)数据量大、运算复杂、实时性能要求高等问题，提出了一种基于多片多核DSP并行的方式实现机载SAR距离徙动校正的方法。重点介绍实现过程中的片间及片内并行和同步处理、数据交互、数据分配，距离徙动校正的距离向脉冲压缩和惯导补偿，以及多普勒中心估计实现的具体步骤，利用点仿真和实测数据验证了该方法的有效性，并提出优化模块，进一步提高运算的实时性。     

超视距空战仿真中的策略识别

针对超视距空战仿真中敌机策略的识别问题,研究了一种基于案例的策略识别方法。该方法通过构建包含假定的对手任务目标、观测数据、策略等内容的案例库,采用相似度计算选择与新的观测相似的案例库子集,并计算策略概率分布来识别对手策略。实验证明,相比与常规的基于案例推理方法,在案例中增加敌机任务目标提高了策略识别准确率,并且在假定敌机目标不正确时,能修复错误假定并进行策略识别,改善了基于案例策略识别方法的性能。     

Improving multi-target cooperative tracking guidance for UAV swarms using multi-agent reinforcement learning

Multi-Target Tracking Guidance(MTTG) in unknown environments has great potential values in applications for Unmanned Aerial Vehicle(UAV) swarms. Although Multi-Agent Deep Reinforcement Learning(MADRL) is a promising technique for learning cooperation, most of the existing methods cannot scale well to decentralized UAV swarms due to their computational complexity or global information requirement. This paper proposes a decentralized MADRL method using the maximum reciprocal reward to learn cooper...     

SINS/GNSS integrated navigation system based on maximum versoria filter

In the missile-borne Strapdown Inertial Navigation System/Global Navigation Satellite System (SINS/GNSS) integrated navigation system, due to the factors such as the high dynamics, the signal blocking by obstacles, the signal intefereces, etc., there always exist pulse interferences or measurement information interruptions in the satellite receiver, which make nonstationary measurement process. The traditional Kalman Filter (KF) can tackle the state estimation problem under Gaussian white noise, but its performance will be significantly reduced under non-Gaussian noises. In order to deal with the non-Gaussian conditions in the actual missile-borne SINS/GNSS integrated navigation systems, a Maximum Versoria Criterion Extended Kalman Filter (MVC-EKF) algorithm is proposed based on the MVC and the idea of M-estimation, which assigns a smaller weight to the anomalous measurements so as to suppress the influence of anomalous measurements on the state estimation while maintaining a relatively low calculation cost. Finally, the integrated navigation simulation experiments prove the effectiveness and robustness of the proposed algorithm.     

双通道光纤陀螺捷联惯导的设计与实现

针对光纤陀螺惯导精度和动态性能相互矛盾的问题,从实际应用需求出发,提出了一种高精度和大量程的双通道光纤陀螺捷联惯导系统.介绍了设计的基本原理和系统组成,并详细阐述了大小光纤陀螺设计、双通道加速度计设计和软件算法设计等关键技术,最后研制了一套原理样机.通过系统级标定试验、量程和陀螺精度试验、高动态振动环境试验和动态跑车试验等对样机进行验证,结果表明该技术方案具有可行性,为其他光纤陀螺惯导系统提供了新的设计思路.     

不同尺度范围的监测网对星基增强服务性能的影响分析

区域监测站提供的星基增强完好性监测服务在民用航空等生命安全领域发挥着重要作用。为了分析利用不同尺度监测网估计的完好性信息对用户服务性能影响,使用等效钟差方法分别实现三种不同尺度的监测网完好性参数估计,并进行增强定位验证。从增强卫星数目、用户测距误差、定位精度和保护级包络特性方面研究不同尺度的监测网对用户服务性能评估的影响,结果表明:与小尺度和中等尺度区域相比,大尺度区域增强卫星数目分别增加了50.7%、33.7%。与广播星历伪距单点定位相比,基于小、中等和大尺度区域监测网估计的改正数增强定位在水平方向定位精度分别提升了33.08%、33.59%和32.54%,垂直方向定位精度分别提升了36.56%、41.07%和43.86%。三种尺度估计的平均用户测距误差均优于0.3 m,保护级水平对定位误差的包络均能达到95%。研究成果可为区域星基增强监测网的选择提供理论支撑和应用依据。