A tunable adaptive detector for distributed targets when signal mismatch occurs

doi:10.23919/JSEE.2023.000029

Journal of Systems Engineering and Electronics ›› 2023, Vol. 34 ›› Issue (4): 873-878.doi: 10.23919/JSEE.2023.000029

• • 上一篇

收稿日期:2021-07-20 出版日期:2023-08-18 发布日期:2023-08-28

A tunable adaptive detector for distributed targets when signal mismatch occurs

Yufeng CUI¹(), Yongliang WANG¹, Weijian LIU¹^,*(), Qinglei DU¹(), Xichuan ZHANG²(), Xuhui LI³

¹ Air Force Early Warning Academy, Wuhan 430019, China
² Unit 93128 of the PLA, Beijing 100843, China
³ Unit 93155 of the PLA, Chengdu 610041, China

Received:2021-07-20 Online:2023-08-18 Published:2023-08-28
Contact: Weijian LIU E-mail:cuiyufeng1122@163.com;liuvjian@163.com;dql822@163.com;xichuan102@163.com
About author:
CUI Yufeng was born in 1996. He received his B.S. degree in radar engineering and M.S. degree in information and communication engineering from Air Force Early Warning Academy, Wuhan, China, in 2019 and 2021, respectively. His current research interests include multichannel signal detection and space-time adaptive processing. E-mail: cuiyufeng1122@163.com

WANG Yongliang was born in 1965. He received his Ph.D. degree in electrical engineering from Xidian University, Xi ’an, China, in 1994. From June 1994 to December 1996, he was a postdoctoral fellow with the Department of Electronic Engineering, Tsinghua University, Beijing, China. He has been a full professor since 1996 with Air Force Early Warning Academy, Wuhan, China. His research interests include radar systems, space-time adaptive processing, and array signal processing. E-mail: ylwangkjld@163.com

LIU Weijian was born in 1982. He received his B.S. degree in information engineering and M.S. degree in signal and information processing from Wuhan Radar Academy, Wuhan, China, in 2006 and 2009, respectively, and Ph.D. degree in information and communication engineering from National University of Defense Technology, Changsha, China, in 2014. He is currently an associate professor with Air Force Early Warning Academy. His current research interests include multichannel signal detection, statistics, and array signal processing. E-mail: liuvjian@163.com

DU Qinglei was born in 1981. He received two B.S. degrees, one in measure and control engineering and the other in computer science and technology, and an M.S. degree in electronics engineering, all from the Mechanical and Electronics School, Wuhan University of Technology, Wuhan, China, in 2005 and 2007, respectively. He received his Ph.D. degree in signal and information processing from Electronics Information School, Wuhan University, Wuhan, China, in 2019. He is currently an associate professor with Air Force Early Warning Academy, Wuhan, China. His research interests include radar target detection, recognition, and digital image processing. E-mail: dql822@163.com

ZHANG Xichuan was born in 1984. He received his Ph.D. degree in information and communication engineering from Air Force Engineering University, Xi’an, China, in 2011. He is currently a senior engineer of Project Management Institution, Beijing, China. His research interests include radar system, space-time adaptive processing and MIMO radar. E-mail: xichuan102@163.com

LI Xuhui was born in 1992. She received her B.S. degree in air material management from Air Force Logistics University, Xuzhou, China, in 2015, and M.S. degree in military equipment from Air Force Early Warning Academy, Wuhan, China, in 2021. Her current research interests include military equipment and multichannel signal detection. E-mail: 378615406@qq.com
Supported by:
This work was supported by the National Natural Science Foundation of China (62071482)

摘要/Abstract

Abstract:

Aiming at the problem of detecting a distributed target when signal mismatch occurs, this paper proposes a tunable detector parameterized by an adjustable parameter. By adjusting the parameter, the tunable detector can achieve robust or selective detection of mismatched signals. Moreover, the proposed tunable detector, with a proper tunable parameter, can provide higher detection probability compared with existing detectors in the case of no signal mismatch. In addition, the proposed tunable detector possesses the constant false alarm rate property with the unknown noise covariance matrix.

Key words: multichannel signal detection, target detection, distributed target, signal mismatch

. [J]. Journal of Systems Engineering and Electronics, 2023, 34(4): 873-878.

Yufeng CUI, Yongliang WANG, Weijian LIU, Qinglei DU, Xichuan ZHANG, Xuhui LI. A tunable adaptive detector for distributed targets when signal mismatch occurs[J]. Journal of Systems Engineering and Electronics, 2023, 34(4): 873-878.

图/表 7

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A tunable adaptive detector for distributed targets when signal mismatch occurs

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