Joint resource allocation scheme for target tracking in distributed MIMO radar systems

doi:10.21629/JSEE.2019.04.09

Journal of Systems Engineering and Electronics ›› 2019, Vol. 30 ›› Issue (4): 709-719.doi: 10.21629/JSEE.2019.04.09

收稿日期:2018-06-04 出版日期:2019-08-01 发布日期:2019-09-01

Joint resource allocation scheme for target tracking in distributed MIMO radar systems

Na'e ZHENG(), Yang SUN(), Xiyu SONG*(), Song CHEN()

Data and Target Engineering Institute, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China

Received:2018-06-04 Online:2019-08-01 Published:2019-09-01
Contact: Xiyu SONG E-mail:zhengnaecshz@163.com;kd@163.com;fsongxiyu@126.com;wirelessman@163.com
About author:ZHENG Na'e was born in 1984. She received her B.S. degree in electronic engineering from National Digital Switching System Engineering and Technological R&D Center (NDSC), Zhengzhou, China, in 2007, M.S. degree in communication and information system from NDSC in 2010, and Ph.D. degree in information and communication engineering from NDSC in 2014. Currently, she is a lecturer of PLA Strategic Support Force Information Engineering University. Her research interests include MIMO radar signal processing and analysis of fine features. E-mail:zhengnaecshz@163.com|SUN Yang was born in 1992. He received his B.S. and M.S. degrees in electronic engineering from National Digital Switching System Engineering and Technological R&D Center (NDSC) in 2014 and 2017, respectively. Now, he is a Ph.D. candidate in information and communication engineering of PLA Strategic Support Force Information Engineering University. His research interests include MIMO radar signal processing and image processing. E-mail:sunyang kd@163.com|SONG Xiyu was born in 1992. She received her B.S. and M.S. degrees in electronic engineering from National Digital Switching System Engineering and Technological R&D Center (NDSC) in 2015 and 2018, respectively. Now she is a Ph.D. candidate in information and communication engineering of PLA Strategic Support Force Information Engineering University. Her research interests include MIMO radar technology and life science. E-mail:fsongxiyu@126.com|CHEN Song was born in 1986. He received his B.S. degree in electronic engineering from National Digital Switching System Engineering and Technological R&D Center (NDSC) in 2008, M.S. degree in communication and information system from NDSC in 2011, and Ph.D. degree in information and communication engineering from NDSC in 2015. Currently, he is a lecturer of PLA Strategic Support Force Information Engineering University. His research interests include cognitive radio and MIMO radar systems. E-mail:wirelessman@163.com
Supported by:
the National Natural Science Foundation of China(61501513);the National Natural Science Foundation of China(61401469);the National Natural Science Foundation of China(41301481);This paper was supported by the National Natural Science Foundation of China (61501513; 61401469; 41301481)

摘要/Abstract

Abstract:

A joint resource allocation scheme concerned with the sensor subset, power and bandwidth for range-only target tracking in multiple-input multiple-output (MIMO) radar systems is proposed. By selecting an optimal subset of sensors with the predetermined size and implementing the power allocation and bandwidth strategies among them, this algorithm can help achieving a better performance within the same resource constraints. Firstly, the Bayesian Cramer-Rao bound (BCRB) is derived from it. Secondly, a criterion for minimizing the BCRB at the target location among all targets tracking in a certain range is derived. Thirdly, the optimization problem involved with three variable vectors is formulated, which can be simplified by deriving the relationship between the optimal power allocation vector and the bandwidth allocation vector. Then, the simplified optimization problem is solved by the cyclic minimization algorithm incorporated with the sequential parametric convex approximation (SPCA) algorithm. Finally, the validity of the proposed method is demonstrated with simulation results.

Key words: distributed multiple-input multiple-output (MIMO) radar, target tracking, joint resource alloction, sensor subset selection (SSS), optimal power and bandwidth allocation (OPBA)

. [J]. Journal of Systems Engineering and Electronics, 2019, 30(4): 709-719.

Na'e ZHENG, Yang SUN, Xiyu SONG, Song CHEN. Joint resource allocation scheme for target tracking in distributed MIMO radar systems[J]. Journal of Systems Engineering and Electronics, 2019, 30(4): 709-719.

图/表 9

参考文献 26

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Joint resource allocation scheme for target tracking in distributed MIMO radar systems

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