Particle swarm optimization for rigid body reconstruction after micro-Doppler removal in radar analysis  

作　　者：LI Hongzhi WANG Yong 

机构地区：[1]School of Electronics and Information Engineering,Harbin Institute of Technology,Harbin 150001,China [2]Key Laboratory of Marine Environmental Monitoring and Information Processing,Ministry of Industry and Information Technology,Harbin 150001,China

出　　处：《Journal of Systems Engineering and Electronics》2020年第3期488-499,共12页系统工程与电子技术（英文版）

基　　金：the National Natural Science Foundation of China(61622107,61871146).

摘　　要：The rotating micro-motion parts produce micro-Doppler(m-D)effects which severely influence the quality of inverse synthetic aperture radar(ISAR)imaging for complex moving targets.Recently,a method based on short-time Fourier transform(STFT)and L-statistics to remove m-D effects is proposed,which can separate the rigid body parts from interferences introduced by rotating parts.However,during the procedure of removing m-D parts,the useful data of the rigid body parts are also removed together with the m-D interferences.After summing the rest STFT samples,the result will be affected.A novel method is proposed to recover the missing values of the rigid body parts by the particle swarm optimization(PSO)algorithm.For PSO,each particle corresponds to a possible phase estimation of the missing values.The best particle is selected which has the minimal energy of the side lobes according to the best fitness value of particles.The simulation and measured data results demonstrate the effectiveness of the proposed method.

关 键 词：micro-Doppler(m-D) inverse synthetic aperture radar(ISAR) L-STATISTICS particle swarm optimization(PSO) 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TN957.51[自动化与计算机技术—控制科学与工程]