一种双重积累自反馈优化的三维多目标检测前跟踪算法  

A 3D Multi Targets Track before Detect Algorithm with Self-feedback Optimization of Dual Accumulation

作　　者：薄钧天 张嘉毫 王国宏 于洪波 张翔宇 王万田 王衡峰 BO Juntian;ZHANG Jiahao;WANG Guohong;YU Hongbo;ZHANG Xiangyu;WANG Wantian;WANG Hengfeng(National Key Laboratory of Electromagnetic Energy,Naval University of Engineering Wuhan 430033,China;Aviation Combat Service College,Naval Aviation University,Yantai 264001,China;Department of Avionics Engineering and Commad in Qingdao Campus,Naval Aviation University,Qingdao 266041,China;College of Information and Communication Engineering,North University of China,Taiyuan 030023,China)

机构地区：[1]海军工程大学电磁能技术全国重点实验室,武汉430033 [2]海军航空大学航空作战勤务学院信息融合研究所,烟台264001 [3]海军航空大学青岛校区航空电子工程与指挥系,青岛266041 [4]中北大学信息与通信工程学院,太原030023

出　　处：《电子与信息学报》2024年第9期3629-3636,共8页Journal of Electronics & Information Technology

基　　金：国家杰出青年科学基金(52025072);中国科协青年人才托举工程项目(2021-JCJQ-QT-009);国家自然科学基金(62271498);山东省自然科学基金面上项目(ZR2020MF015,ZR2020QF010)。

摘　　要：针对3维微弱多目标检测问题,该文提出一种双重积累自反馈优化的3级平行线坐标变换(PT)检测前跟踪(TBD)算法。通过将平行线坐标变换引入至TBD技术,依次在规格化的径向距离-时间、方位角-时间和俯仰角-时间平面对量测点进行投影变换和双重非相参积累,同时利用功率累积结果反馈优化二值积累,有效缓解强目标淹没弱目标和编队目标串扰问题。仿真结果表明,当整体信杂比达到10 dB时,所提算法的全局检测概率接近80%,证明了该算法的有效性。Considering the problem of 3D weak multi target detection,a 3-level Parallel-line-coordinate Transformation(PT)Track Before Detect(TBD)algorithm based on the dual accumulation self-feedback optimized is proposed in this paper.By introducing PT into TBD technology,the measurement points are transformed and accumulated sequentially on the normalized radial distance-time,azimuth angle-time and elevation angle-time planes,then the power accumulation are used to feedback the optimized binary accumulation,effectively mitigating the mutual interference between strong targets overwhelming weak targets and formation targets.Simulation results show that when the overall signal-to-clutter ratio reaches 10 dB,the overall detection probability of the proposed algorithm is close to 80%,demonstrating the effectiveness of the algorithm.

关 键 词：雷达 检测前跟踪 多目标 平行线坐标变换 自反馈优化 

分 类 号：TN957[电子电信—信号与信息处理]