Joint Strategy of Power and Bandwidth Allocation for Multiple Maneuvering Target Tracking in Cognitive MIMO Radar With Collocated Antennas

作者：Li, Zhengjie; Xie, Junwei; Liu, Weijian^*; Zhang, Haowei; Xiang, Houhong

来源：IEEE Transactions on Vehicular Technology, 2023, 72(1): 190-204.

DOI：10.1109/TVT.2022.3204939

• Radar tracking
• Target tracking
• Radar
• Resource management
• Bandwidth
• Radar antennas
• MIMO radar
• Cognitive tracking
• collocated MIMO radar
• MMTT
• PC-CRLB
• resource allocation

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.