Journal of Systems Engineering and Electronics ›› 2021, Vol. 32 ›› Issue (1): 21-30.doi: 10.23919/JSEE.2021.000003

• ELECTRONICS TECHNOLOGY • Previous Articles     Next Articles

STAP method based on atomic norm minimization with array amplitude-phase error calibration

Xiaojiao PANG(), Yongbo ZHAO*(), Chenghu CAO(), Baoqing XU(), Yili HU()   

  1. 1 National Lab of Radar Signal Processing, Department of Electrical Engineering, Xidian University, Xi’an 710071, China
  • Received:2019-11-04 Online:2021-02-18 Published:2021-03-16
  • Contact: Yongbo ZHAO E-mail:1964230291@qq.com;ybzhao@xidian.edu.cn;764161366@qq.com;835569607@qq.com;huyili66@126.com
  • About author:|PANG Xiaojiao was born in 1993. She received her B.S. degree from Xidian University, Xi ’an, China. She is currently pursuing her Ph.D. degree with Department of Electrical Engineering, Xidian University. Her research interests are space time adaptive processing and compress scene. E-mail: 1964230291@qq.com||ZHAO Yongbo was born in 1972. He received his M.E. and Ph.D. degrees in electrical engineering from Xidian University, Xi’an, China, in 1997 and 2000, respectively. He is currently a professor with the Department of Electrical Engineering, Xidian University. His research interests include adaptive signal processing, array signal processing, multiple-input multiple-output radar and target tracking. E-mail: ybzhao@xidian.edu.cn||CAO Chenghu was born in 1987. He received his M.E. degree in signal processing from Fuzhou University, Fuzhou, China in 2015. He is currently working towards his Ph.D. degree with the Department of Electrical Engineering, Xidian University. His research interests are parameter estimation and multi-target detect and tracking. E-mail: 764161366@qq.com||XU Baoqing was born in 1992. He received his B.S. degree from Qingdao Technological University, Qingdao, China, in 2014. He is currently pursuing his Ph.D. degree in signal processing with the Department of Electrical Engineering, Xidian University. His research interests include parameter estimation and adaptive signal processing. E-mail: 835569607@qq.com||HU Yili was born in 1994. He received his B.S. degree in signal and information processing from Yangtze University, Jingzhou, China, in 2017. He is currently working towards his Ph.D. degree in the Department of Electrical Engineering, Xidian University. His research interests include processing of airborne conformal arrays radar, clutter suppression and multiple-input multiple-output radar signal processing. E-mail: huyili66@126.com
  • Supported by:
    This work was supported by the Fund for Foreign Scholars in University Research and Teaching Programs (the 111 Project) (B18039)

Abstract:

In this paper, a space-time adaptive processing (STAP) method is proposed for the airborne radar with the array amplitude-phase error considered, which is based on atomic norm minimization (ANM). In the conventional ANM-based STAP method, the influence of the array amplitude-phase error is not considered and restrained, which inevitably causes performance deterioration. To solve this problem, the array amplitude-phase error is firstly estimated. Then, by pre-estimating the array amplitude-phase error information, a modified ANM model is built, in which the array amplitude-phase error factor is separated from the clutter response and the clutter covariance matrix (CCM) to improve the estimation accuracy of the CCM. To prove that the atomic norm theory is applicable in the presence of the array amplitude-phase error, the clutter sparsity is analyzed in this paper. Meanwhile, simulation results demonstrate that the proposed method is superior to the state-of-the-art STAP method. Moreover, the measured data is used to verify the effectiveness of the proposed method.

Key words: atomic norm minimization (ANM), space-time adaptive processing (STAP), airborne radar, array amplitude-phase error