Power Minimization-Based Joint Resource Allocation Algorithm for Target Localization in Non-Coherent Distributed MIMO Radar System

• Published in: IEEE systems journal pp. 1 - 12
• Main Authors: Zhang, Weiwei, Shi, Chenguang, Zhou, Jianjiang
• Format: Journal Article
• Language: English
• Published: IEEE 01.06.2022
• Subjects: Alternating direction method of multipliers (ADMM); Bandwidth; heuristic algorithm; Heuristic algorithms; joint resource allocation; Location awareness; Manganese; noncoherent distributed multiple-input > multiple-output (MIMO) radar system; Optimization; power minimization (PM); Radar; Resource management
• ISSN: 1932-8184
• DOI: 10.1109/JSYST.2021.3126152

In this article, an optimization scheme integrating power allocation, bandwidth assignment and radar node selection (PABARNS) is developed to improve power utilization efficiency (PUE) of noncoherent distributed multiple-input-multiple-output (MIMO) radar system for target localization. The basis of the proposed scheme is to minimize the total transmit power subject to a predetermined target localization accuracy requirement, where the target localization accuracy is evaluated with the Crámer-Rao lower bound. Subsequently, the PABARNS scheme results in a mixed nonlinear Boolean-nonconvex optimization problem. In view of the unique feature of the optimization model, a two-step technique based on the heuristic algorithm and alternating direction method of multipliers method is presented to solve the underlying optimization problem, with merit of that it is more workable than other existing approaches when the power and bandwidth lie in any bound set. Finally, the simulation reveals the higher accuracy and lower complexity of the developed algorithm compared with the benchmarks, as well as the superiority of the PABARNS scheme compared with over other existing schemes in the view of the achievable PUE.