K分布杂波下机载雷达的检测前跟踪算法  

Track-before-detect Algorithm for Airborne Radar in K-Distributed Clutter

作　　者：陆晓莹 王志航 邓明龙 何子述 李会勇 LU Xiaoying;WANG Zhihang;DENG Minglong;HE Zishu;LI Huiyong(School of Information and Communication Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China)

机构地区：[1]电子科技大学信息与通信工程学院,成都611731

出　　处：《现代雷达》2022年第10期65-71,共7页Modern Radar

基　　金：国家自然科学基金资助项目(NSFC62031007,NSFC61771095)。

摘　　要：针对机载雷达重尾杂波背景下的目标检测问题,提出了一种基于动态规划的检测前跟踪(DP-TBD)算法。该算法中杂波建模为K分布杂波,结合K分布杂波特性和机载雷达特点,推导了TBD框架下基于广义似然比检测的多帧检测统计量,然后运用动态规划算法,给出了在距离-方位-多普勒域上检测目标和恢复目标航迹的具体实现方式。仿真结果表明:在K分布杂波背景下,相比于传统DP-TBD算法和单帧检测算法,提出的算法可以有效提升机载雷达对目标的检测跟踪性能。A track-before-detect algorithm based on dynamic programming(DP-TBD) is proposed in this paper, aiming at the target detection problem for airborne radar in the background of heavy-tailed clutter. In this algorithm, the clutter is modeled in terms of K distribution, combined with the characteristics of K-distributed clutter and airborne radar, the multi-frame detection statistic based on generalized likelihood ratio test under the TBD framework is derived, and then the dynamic programming algorithm is used to give the specific realization method of detecting and tracking target in the range-azimuth-Doppler domain. Compared with the traditional DP-TBD algorithm and single-frame detection algorithm, simulation results show that the proposed algorithm can effectively improve the detection and tracking performance of airborne radar under the background of K-distributed clutter.

关 键 词：检测前跟踪 机载雷达 动态规划 K分布杂波 

分 类 号：TN957.52[电子电信—信号与信息处理]