An Efficient ΣΔ-STAP Detector for Radar Seeker using RPCA Post-processing

Zhao Lei; Luo XiLing; Sun Jinping; Lu Songtao

doi:10.14429/dsj.64.4862

Zhao Lei School of Electronic and Information Engineering, Beihang University, Beijing
Luo XiLing School of Electronic and Information Engineering, Beihang University, Beijing
Sun Jinping School of Electronic and Information Engineering, Beihang University, Beijing
Lu Songtao Department of Electrical and Computer Engineering at Iowa State University, IA 50011

DOI: https://doi.org/10.14429/dsj.64.4862

Keywords: Space-time adaptive processing, low-rank matrix recovery, principal component analysis, accelerated proximal gradient

Abstract

Adaptive detection of moving targets in sea clutter environment is considered as one of the crucial tasks for radar seekers. Due to the severe spreading of the sea clutter spectrum, the ability of space-time adaptive processing with sum and difference beams (ΣΔ-STAP) algorithms to suppress the sea clutter is very limited. This paper, investigated the low-rank property of the range-Doppler data matrix according to the eigenvalue distribution from the eigen spectrum, and proposed an efficient ΣΔ-STAP detector based on the robust principle component analysis (RPCA) algorithm to detect moving targets, which meets the low-rank matrix recovery conditions. The proposed algorithm first adopts ΣΔ-STAP algorithm to preprocess the sea clutter, then separates the sparse matrix of target component from the range-Doppler data matrix through the RPCA algorithm, and finally, effectively detects moving targets in the range-Doppler plane. Simulation results demonstrate the effectiveness and robustness of the proposed algorithm in the low signal-to-noise ratio scenarios.

Defence Science Journal, Vol. 64, No. 4, July 2014, pp. 344-349, DOI:http://dx.doi.org/10.14429/dsj.64.4862

Author Biographies

Zhao Lei, School of Electronic and Information Engineering, Beihang University, Beijing

Mr Zhao Lei received the MS (circuits and systems) from Xidian University, Xi’an, China, in 2009. He is currently pursuing his PhD (Electrical engineering) at Beihang University, Beijing, China. His current research interests include: Space-time adaptive processing, synthetic aperture radar image interpretation, and digital image processing.

Luo XiLing, School of Electronic and Information Engineering, Beihang University, Beijing

Dr Luo Xiling received the BE and PhD from Beihang University, Beijing, China, in 1996 and 2003, respectively. He is presently working as an Associate Professor at the School of Electronics and Information Engineering, Beihang University, Beijing, China. He has published 20 research papers, co-edited one book. His research interests include air traffic management and radar data processing.

Sun Jinping, School of Electronic and Information Engineering, Beihang University, Beijing

Dr Sun Jinping received the MSc and PhD from Beihang University (BUAA), Beijing, China, in 1998 and 2001, respectively. He is currently a Professor with the School of Electronic and Information Engineering, BUAA. His research interests include : High-resolution radar signal processing, image understanding, and robust beamforming.

Lu Songtao, Department of Electrical and Computer Engineering at Iowa State University, IA 50011

Mr Lu Songtao received his MS (Communication and information engineering) from Beihang University, Beijing, China, in 2011. He is currently pursuing the PhD in the Department of Electrical and Computer Engineering at Iowa State University, USA. His primary research interests include : Statistical signal processing, interference mitigation and wireless communications.