Journal of Systems Engineering and Electronics ›› 2020, Vol. 31 ›› Issue (5): 916-927.doi: 10.23919/JSEE.2020.000061

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Adaptive resource management for multi-target tracking in co-located MIMO radar based on time-space joint allocation

Yang SU(), Ting CHENG*(), Zishu HE(), Xi LI(), Yanxi LU()   

  • Received:2019-11-28 Online:2020-10-30 Published:2020-10-30
  • Contact: Ting CHENG E-mail:yangsu_ee@163.com;citrus@uestc.edu.cn;zshe@uestc.edu.cn;779617448@qq.com;yanxi.Lu@outlook.com
  • About author:SU Yang was born in 1995. He received his M.S. degree in signal and information processing in 2019 from University of Electronic Science and Techno-logy of China (UESTC), where he is currently working toward his Ph.D. degree in signal and information processing. His research interests include target tracking and MIMO radar research management.E-mail: yangsu_ee@163.com|CHENG Ting was born in 1982. She is an associate professor in School of Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC). She received her Ph.D. degree in signal and information processing from UESTC in 2008. From November 2013 to November 2014, she was a visiting scholar in Department of Electronic Engineering of University of New Orleanas, Louisiana, U.S.A. Her research interests include target tracking, radar resource management and data fusion.E-mail: citrus@uestc.edu.cn|HE Zishu was born in 1962. He is a professor and Ph.D. supervisor in School of Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC). He received his Ph.D. degree in signal and information processing from UESTC in 2000. His current research interests include the theory on MIMO radar, adaptive signal processing of radar and optimization theory. He has finished more than 200 papers and has written three books.E-mail: zshe@uestc.edu.cn|LI Xi was born in 1995. She is currently a master student in University of Electronic Science and Technology of China (UESTC). Her research interests include target tracking as well as radar resource management.E-mail: 779617448@qq.com|LU Yanxi was born in 1990. He received his M.S. degree in signal and information processing in 2015 from University of Electronic Science and Techno-logy of China (UESTC), where he is currently working toward his Ph.D. degree in signal and information processing. His research interests include radar research management and distributed target tracking.E-mail: yanxi.Lu@outlook.com
  • Supported by:
    the National Natural Science Fundation of China(61671137);This work was supported by the National Natural Science Fundation of China (61671137)

Abstract:

Compared with the traditional phased array radar, the co-located multiple-input multiple-output (MIMO) radar is able to transmit orthogonal waveforms to form different illuminating modes, providing a larger freedom degree in radar resource mana-gement. In order to implement the effective resource mana-gement for the co-located MIMO radar in multi-target tracking, this paper proposes a resource management optimization model, where the system resource consumption and the tracking accuracy requirements are considered comprehensively. An adaptive resource management algorithm for the co-located MIMO radar is obtained based on the proposed model, where the sub-array number, sampling period, transmitting energy, beam direction and working mode are adaptively controlled to realize the time-space resource joint allocation. Simulation results demonstrate the superiority of the proposed algorithm. Furthermore, the co-located MIMO radar using the proposed algorithm can satisfy the predetermined tracking accuracy requirements with less comprehensive cost compared with the phased array radar.

Key words: co-located multiple-input multiple-output (MIMO) radar, adaptive resource management, multi-target tracking, sub-array division, time-space joint allocation