Journal of Systems Engineering and Electronics ›› 2021, Vol. 32 ›› Issue (4): 748-755.doi: 10.23919/JSEE.2021.000064

• SENSOR ARRAY SIGNAL PROCESSING AND ITS APPLICATIONS IN 5G/6G • Previous Articles     Next Articles

High-order extended coprime array design for direction of arrival estimation

Junpeng SHI1,2(), Fangqing WEN3,*(), Yongxiang LIU1(), Tianpeng LIU1(), Zhen LIU1()   

  1. 1 College of Electronic Science, National University of Defense Technology, Changsha 410073, China
    2 College of Electronic Countermeasure, National University of Defense Technology, Hefei 230037, China
    3 College of Computer and Information Technology, China Three Gorges University, Yichang 443002, China
  • Received:2021-01-28 Online:2021-08-18 Published:2021-09-30
  • Contact: Fangqing WEN E-mail:15667081720@163.com;wenfangqing@yangt2eu.edu.cn;lyx_bible@Sina.com;everliutianpeng@Sina.com;linzhen200216@163.com
  • About author:|SHI Junpeng was born in 1988. He received his M.S. and Ph.D. degrees from Air Force Engineering University, Xi’an, China, in 2014 and 2018, respectively. He is now an associate professor in information and communication engineering with the National University of Defense Technology. His current research interest is mainly focused on tensor signal processing with sparse MIMO radar. E-mail: 15667081720@163.com||WEN Fangqing was born in 1988. He received his B.S. degree in electronic engineering from Hubei University of Automotive Technology, Shiyan, China, in 2011, and postgraduate degree in 2013 from the College of Electronics and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China, where he received his Ph.D. degree in 2016. From October 2015 to April 2016, he was a visiting scholar with the University of Delaware, USA. Since 2021, he has been with the College of Computer and Information Technology, China Three Gorges University, China, where he is currently an associate professor. He is a senior member of Chinese Institute of Electronics. His research interests include MIMO radar, array signal processing, and compressive sensing. E-mail: wenfangqing@ctgu.edu.cn||LIU Yongxiang was born in 1976. He received his B.S. and Ph.D. degrees from the National University of Defense Technology (NUDT) in 1999 and 2004, respectively. He worked at Imperial College London as an academic visitor in 2008. He has been with NUDT since 2004 and is currently a professor in the College of Electrical Science and Engineering, conducting research on radar target recognition, time-frequency analysis, and micro-motion. E-mail: lyx_bible@sina.com||LIU Tianpeng was born in 1985. He received his Ph.D. degree in the College of Electronic Science and Technology from the National University of Defense Technology (NUDT), China, in 2016. He is currently an associate professor of the College of Electronic Science, NUDT. His main research interests include electronic war, electronic countermeasure, cross-eye jamming, and emitter identification. E-mail: everliutianpeng@sina.com||LIU Zhen was born in 1983. He received his Ph.D. degree in information and communication engineering from the National University of Defense Technology (NUDT), in 2013. He is currently a professor with the College of Electronic Science, NUDT. He has been a director or a member in more than 20 national grants and projects. He received the First Prize of Military Scientific and Technological Progress Award in 2018, and the Second Prize of the State Scientific and Technological Progress Award in 2019. He was awarded the Excellent Young Scientists Fund on his project titled “Intelligent Countermeasure for Radar Target Recognition” in September 2020. His current research interests include radar signal processing, radar electronic countermeasure, compressed sensing, and machine learning. E-mail: linzhen200216@163.com
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (62071476; 62022091; 61801488; 61921001), the China Postdoctoral Science Foundation (2021T140788; 2020M683728), the Science and Technology Innovation Program of Hunan Province (2020RC2041), and the Research Program of National University of Defense Technology (ZK19-10; ZK20-33)

Abstract:

Nonuniform linear arrays, such as coprime array and nested array, have received great attentions because of the increased degrees of freedom (DOFs) and weakened mutual coupling. In this paper, inspired by the existing coprime array, we propose a high-order extended coprime array (HoECA) for improved direction of arrival (DOA) estimation. We first derive the closed-form expressions for the range of consecutive lags. Then, by changing the inter-element spacing of a uniform linear array (ULA), three cases are proposed and discussed. It is indicated that the HoECA can obtain the largest number of consecutive lags when the spacing takes the maximum value. Finally, by comparing it with the other sparse arrays, the optimized HoECA enjoys a larger number of consecutive lags with mitigating mutual coupling. Simulation results are shown to evaluate the superiority of HoECA over the others in terms of DOF, mutual coupling leakage and estimation accuracy.

Key words: high-order extended coprime array (HoECA), direction of arrival (DOA), degree of freedom (DOF), mutual coupling