A spawning particle filter for defocused moving target detection in GNSS-based passive radar  

作　　者：ZENG Hongcheng DENG Jiadong WANG Pengbo ZHOU Xinkai YANG Wei CHEN Jie 

机构地区：[1]School of Electronic and Information Engineering,Beihang University,Beijing 100191,China [2]National Key Laboratory of Science and Technology on Space Microwave,China Academy of Space Technology,Xi’an 710000,China

出　　处：《Journal of Systems Engineering and Electronics》2023年第5期1085-1100,共16页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(62101014);the National Key Laboratory of Science and Technology on Space Microwave(6142411203307).

摘　　要：Global Navigation Satellite System(GNSS)-based passive radar(GBPR)has been widely used in remote sensing applications.However,for moving target detection(MTD),the quadratic phase error(QPE)introduced by the non-cooperative target motion is usually difficult to be compensated,as the low power level of the GBPR echo signal renders the estimation of the Doppler rate less effective.Consequently,the moving target in GBPR image is usually defocused,which aggravates the difficulty of target detection even further.In this paper,a spawning particle filter(SPF)is proposed for defocused MTD.Firstly,the measurement model and the likelihood ratio function(LRF)of the defocused point-like target image are deduced.Then,a spawning particle set is generated for subsequent target detection,with reference to traditional particles in particle filter(PF)as their parent.After that,based on the PF estimator,the SPF algorithm and its sequential Monte Carlo(SMC)implementation are proposed with a novel amplitude estimation method to decrease the target state dimension.Finally,the effectiveness of the proposed SPF is demonstrated by numerical simulations and pre-liminary experimental results,showing that the target range and Doppler can be estimated accurately.

关 键 词：Global Navigation Satellite System(GNSS)-based passive radar(GBPR) defocused target moving target detec-tion(MTD) likelihood ratio function(LRF) spawning particle fil-ter(SPF) 

分 类 号：TN967.1[电子电信—信号与信息处理] TN95[电子电信—信息与通信工程] TN713