Journal
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume 72, Issue 1, Pages 190-204Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVT.2022.3204939
Keywords
Radar tracking; Target tracking; Radar; Resource management; Bandwidth; Radar antennas; MIMO radar; Cognitive tracking; collocated MIMO radar; MMTT; PC-CRLB; resource allocation
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In this article, a joint strategy of power and bandwidth allocation (JSPBA) is proposed for multiple maneuvering target tracking (MMTT) in the multi-input multi-output (MIMO) radar with collocated antennas. The proposed algorithm optimally allocates the transmitted resources based on prior information in the closed-loop system of cognitive tracking. The nonconvex problem is solved by converting it into a series of convex problems and then formulated as standard semi-definite programming (SDP) problems for solution.
In this article, we propose a joint strategy of power and bandwidth allocation (JSPBA) for multiple maneuvering target tracking (MMTT) in the multi-input multi-output (MIMO) radar with collocated antennas. The basis of our strategy is to optimally allocate the transmitted resources of power and effective bandwidth by the prior information in the closed-loop system of cognitive tracking. On account of the predicted conditional Cramer-Rao lower bound (PC-CRLB) offering a more accurate and time-sensitive lower bound than the standard posterior CRLB (PCRLB), the PC-CRLB of the range, Doppler frequency, and direction-of-arrival (DOA) is derived, normalized and adopted as the optimization criterion. Moreover, in order to solve the nonconvex problem, the initial nonconvex problem is converted into a series of convex problems, which are further formulated as the standard semi-definite programming (SDP) problems and then be solved, by introducing the convex relaxation technique and the two-step solution technique. Simulations confirm the superiority of the proposed JSPBA algorithm, in terms of the overall tracking accuracy in the MMTT scenario.
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