Journal of Systems Engineering and Electronics ›› 2024, Vol. 35 ›› Issue (1): 14-23.doi: 10.23919/JSEE.2023.000151

• RADAR DETECTION AND INTERFERENCE SUPPRESSION • Previous Articles    

Scale effect removal and range migration correction for hypersonic target coherent detection

Shang WU(), Zhi SUN(), Xingtao JIANG(), Haonan ZHANG(), Jiangyun DENG(), Xiaolong LI(), Guolong CUI()   

  1. 1 School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
  • Received:2022-12-23 Accepted:2023-09-12 Online:2024-02-18 Published:2024-03-05
  • Contact: Zhi SUN E-mail:18612784412@163.com;zhisunuestc@163.com;fjxt_1999@163.com;zhang18844908287@163.com;1203513569@qq.com;xiaolongli@uestc.edu.cn;cuiguolong@uestc.edu.cn
  • About author:
    WU Shang was born in 1991. He received his B.S degree from Nanjing University of Aeronautics and Astronautics in 2013, and M.S. degree from National University of Defense Technology in 2015. He is a Ph.D. candidate in University of Electronic Science and Technology of China. His research interests are radar high-speed target detection and multiple-input and multiple-output (MIMO) radar detection. E-mail: 18612784412@163.com

    SUN Zhi was born in 1992. He received his B.S. degree from Zhengzhou University, Zhengzhou, China, and Ph.D. degree in signal and information processing from the University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2015 and 2020, respectively. He is an associate researcher with the School of Information and Communication Engineering, UESTC. From March 2019 to March 2020, he was a visiting Ph.D. with the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, under the financial support from the China Scholarship Council (CSC). His research interests include weak target detection, time-frequency analysis, and clutter suppression. E-mail: zhisunuestc@163.com

    JIANG Xingtao was born in 1999. He received his B.S. degree from North China Electric Power University, Baoding, China. He is working toward his M.S. degree in the School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China. His research interests include moving target detection and airborne radar clutter suppression. E-mail: fjxt_1999@163.com

    ZHANG Haonan was born in 2000. He received his B.S. degree from North China Electric Power University, Baoding, China. He is working toward his M.S. degree in the School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China. His research interests include moving target detection and airborne radar clutter suppression. E-mail: zhang18844908287@163.com

    DENG Jiangyun was born in 2000. He received his B.S. degree from Jiangxi University of Science and Technology, Ganzhou, China. He is working toward his M.S. degree in the School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China. His research interests include weak target detection and multiple-input and multiple-output (MIMO) radar signal processing. E-mail: 1203513569@qq.com

    LI Xiaolong was born in 1989. He received his B.S. and Ph.D. degrees from the University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2011 and 2017, respectively. Since 2017, he has been a faculty with the School of Information and Communication Engineering, UESTC. From 2018 to 2019, he was a visiting researcher with the Department of Electrical and Computer Engineering, National University of Singapore, Singapore. He is an associate professor with UESTC. His research interests include radar moving target detection, weak signal parameter estimation, and multiple-input and multiple-output (MIMO) radar signal processing. E-mail: xiaolongli@uestc.edu.cn

    CUI Guolong received his B.S., M.S., and Ph.D. degrees from the University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2005, 2008, and 2012, respectively. From January 2011 to April 2011, he was a visiting researcher with the University of Naples Federico II, Naples, Italy. From June 2012 to August 2013, he was a postdoctoral researcher with the Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA. From September 2013 to July 2018, he was an associate professor with UESTC. Since August 2018, he has been a professor with UESTC. His current research interests include cognitive radar, array signal processing, multiple-input and multiple-output (MIMO) radar, and through the wall radar. E-mail: cuiguolong@uestc.edu.cn
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (62101099), the Chinese Postdoctoral Science Foundation (2021M690558; 2022T150100; 2018M633352; 2019T120825), the Young Elite Scientist Sponsorship Program (YESS20200082), the Aeronautical Science Foundation of China (2022Z017080001), the Open Foundation of Science and Technology on Electronic Information Control Laboratory, and the Natural Science Foundation of Sichuan Province (2023NSFSC1386).

Abstract:

The detection of hypersonic targets usually confronts range migration (RM) issue before coherent integration (CI). The traditional methods aiming at correcting RM to obtain CI mainly considers the narrow-band radar condition. However, with the increasing requirement of far-range detection, the time bandwidth product, which is corresponding to radar’s mean power, should be promoted in actual application. Thus, the echo signal generates the scale effect (SE) at large time bandwidth product situation, influencing the intra and inter pulse integration performance. To eliminate SE and correct RM, this paper proposes an effective algorithm, i.e., scaled location rotation transform (ScLRT). The ScLRT can remove SE to obtain the matching pulse compression (PC) as well as correct RM to complete CI via the location rotation transform, being implemented by seeking the actual rotation angle. Compared to the traditional coherent detection algorithms, ScLRT can address the SE problem to achieve better detection/estimation capabilities. At last, this paper gives several simulations to assess the viability of ScLRT.

Key words: hypersonic target detection, coherent integration (CI), scale effect (SE) removal, range migration (RM) correction, scaled location rotation transform (ScLRT)