Power Allocation Game Between Multiple Statistical MIMO Radar Networks and Multiple Jammers Based on Mutual Information

• Published in: IEEE transactions on vehicular technology Vol. 73; no. 11; pp. 17657 - 17667
• Main Authors: Zhang, Gangsheng, Xie, Junwei, Zhang, Haowei, Liu, Xiangyang
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.11.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Game theory; Jammers; Jamming; Lagrange multiplier; MIMO communication; MIMO radar; multiple jammers; Mutual information; power allocation; Radar antennas; Radar networks; Resource management; Stackelberg game
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2024.3429618

This article investigates the power allocation problem between multiple statistical multiple-input multiple-output(MIMO) radar networks and multiple jammers. Specifically, the main objective of multiple statistical MIMO radar networks is to maximize the mutual information(MI) between the received signal and the path gain matrix under power constraints, whereas the jammers aim to minimize the MI. Based on the theory of Stackelberg game, multiple statistical MIMO radar networks and the jammers are taken as the leader, respectively, and the power allocation problem between the opposing players is effectively solved by using the Lagrange multiplier method. In addition, we derive the existence and uniqueness of the Stackelberg equilibria. Finally, we provide simulation results and compare the performance with other algorithms.