• Defence Electronics Technology •

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

Hongzhi LI1,2(), Yong WANG1,2,*()

1. 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
• Received:2019-04-29 Online:2020-06-30 Published:2020-06-30
• Contact: Yong WANG E-mail:lihongzhi2014@hit.edu.cn;wangyong6012@hit.edu.cn
• About author:LI Hongzhi was born in 1987. He received his B.S. degree and M.S. degree in electronic information engineering and underwater acoustic engineering from Harbin Engineering University in 2010 and 2013, respectively. He is currently an engineer of School of Electronics and Information Engineering and an on-the-job doctoral candidate at Harbin Institute of Technology (HIT). His main research interests include radar imaging technology, high frequency radar frequency selecting and frequency monitoring system anti-interference, and inverse synthetic aperture radar imaging. E-mail: lihongzhi2014@hit.edu.cn|WANG Yong was born in 1979. He received his B.S. and M.S. degrees in electronic engineering from Harbin Institute of Technology (HIT), Harbin, China, in 2002 and 2004, respectively. He received his Ph.D. degree in information and communication engineering from HIT in 2008. He is currently a professor with the Institute of Electronic Engineering Technology in HIT. His research interests include time frequency analysis of nonstationary signal, radar signal processing, and their application in synthetic aperture radar (SAR) imaging. E-mail: wangyong6012@hit.edu.cn
• Supported by:
the National Natural Science Foundation of China(61622107);the National Natural Science Foundation of China(61871146);This work was supported by the National Natural Science Foundation of China (61622107; 61871146)

Abstract:

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.