Journal of Systems Engineering and Electronics ›› 2024, Vol. 35 ›› Issue (2): 339-349.doi: 10.23919/JSEE.2023.000100

• DEFENCE ELECTRONICS TECHNOLOGY • Previous Articles    

Coarse-fine joint target parameter estimation method based on AN-RSC in OFDM passive radar

Chujun WANG(), Xianrong WAN(), Jianxin YI(), Feng CHENG()   

  • Received:2022-03-17 Accepted:2023-08-02 Online:2024-04-18 Published:2024-04-18
  • Contact: Xianrong WAN E-mail:2019182120077@whu.edu.cn;xrwan@whu.edu.cn;jxyi@whu.edu.cn;cwing@whu.edu.cn
  • About author:
    WANG Chujun was born in 1991. She received her B.E. degree in electronic and information engineering from the College of Technology, Hubei Engineering University in 2015. She received her M.S. degree in information and communication engineering from Chongqing University of Posts and Telecommunications in 2018. She is working toward her Ph.D. degree at the School of Electronic Information, Wuhan University. Her research interests are passive radar signal processing and array signal processing. E-mail: 2019182120077@whu.edu.cn

    WAN Xianrong was born in 1975. He received his B.E. degree in electrical and electronic engineering from former Wuhan Technical University of Surveying and Mapping, Wuhan, China, in 1997, and Ph.D. degree from Wuhan University, Wuhan, in 2005. He is now a professor and Ph.D. candidate supervisor of the School of Electronic Information, Wuhan University. Recent years he has hosted and participated in more than ten national research projects, and published more than 150 academic papers. His main research interests include design of new radar system such as passive radar, over-the-horizon radar, and array signal processing. E-mail: xrwan@whu.edu.cn

    YI Jianxin was born in 1989. He received his B.E. degree in electrical and electronic engineering, and Ph.D. degree in radio physics, from Wuhan University, Wuhan, China, in 2011 and 2016, respectively. He is now an associate professor with the School of Electronic Information, Wuhan University. He was a recipient of the 2017 Excellent Doctoral Dissertation Award of the Chinese Institute of Electronics. He has been supported by the Postdoctoral Innovation Talent Support Program of China. His main research interests include radar signal processing, target tracking, and information fusion. E-mail: jxyi@whu.edu.cn

    CHENG Feng was born in 1975. He received his Ph.D degree in radion physics from Wuhan University, Wuhan, in 2006. He is currently an associate professor with Wuhan University. His main research interests include radar signal processing, radio ocean remote sensing, and radar software engineering. E-mail: cwing@whu.edu.cn
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (61931015; 62071335), the Technological Innovation Project of Hubei Province of China (2019AAA061), and the Natural Science Foundation of Hubei Province of China (2021CFA002).

Abstract:

In this paper, we study the accuracy of delay-Doppler parameter estimation of targets in a passive radar using orthogonal frequency division multiplexing (OFDM) signal. A coarse-fine joint estimation method is proposed to achieve better estimation accuracy of target parameters without excessive computational burden. Firstly, the modulation symbol domain (MSD) method is used to roughly estimate the delay and Doppler of targets. Then, to obtain high-precision Doppler estimation, the atomic norm (AN) based on the multiple measurement vectors (MMV) model (MMV-AN) is used to manifest the signal sparsity in the continuous Doppler domain. At the same time, a reference signal compensation (RSC) method is presented to obtain high-precision delay estimation. Simulation results based on the OFDM signal show that the coarse-fine joint estimation method based on AN-RSC can obtain a more accurate estimation of target parameters compared with other algorithms. In addition, the proposed method also possesses computational advantages compared with the joint parameter estimation.

Key words: passive radar, orthogonal frequency division multiplexing (OFDM) signal, atomic norm (AN), parameter estimation