Power and Bandwidth Allocation for Multi-Target Tracking in Collocated MIMO Radar

• Published in: IEEE transactions on vehicular technology Vol. 69; no. 9; pp. 9795 - 9806
• Main Authors: Zhang, Haowei, Zong, Binfeng, Xie, Junwei
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.09.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Bandwidth; Bandwidths; Collocated MIMO radar; Cramer-Rao bounds; Ion beams; Lower bounds; MIMO (control systems); MIMO radar; multi-target tracking; Multiple target tracking; nonconvex optimization; Optimization; PCRLB; Radar tracking; Resource allocation; Resource management; Target tracking
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2020.3002899

A collocated multiple-input and multiple-output (MIMO) radar has the ability to track multiple targets under the simultaneous multi-beam mode, where each transmit beam is defocused to search the entire surveillance space, and then; a focused beam is formed at the receiver to achieve a higher resolution. A joint power and bandwidth allocation strategy is developed in this mode. The optimization model is established with the aim of improving the sum of weighted posterior Cramer-Rao lower bounds (PCRLBs) of multiple targets, which is predicted based on the feedback information in the tracking recursive cycle, subject to the limited power and bandwidth budget. By exploiting the convex relaxation technique and the cycle minimizer, this problem is transformed into a two-stage convex problem, and an efficient solution is provided using the cyclical optimization framework. The effectiveness of the proposed strategy is demonstrated by comparison with three uniform resource allocation methods in many cases.