@inproceedings{96679dcc8c56476f962c6e4dbdb422d3,
title = "Joint Beamforming and Power Allocation in a MIMO Radar Network with Per-antenna Power Control",
abstract = "This paper studies the joint beamforming and power allocation problem for a multiple-input multiple-output (MIMO) radar system in the presence of multiple targets. To facilitate a distributed implementation, a non-cooperative game model is established to capture the interactions among multiple radars, where each radar minimizes the maximum transmit power of its antennas while satisfying the signal-to-interference-plus-noise ratio requirement for the targets. The convex transmit beamforming problem is addressed by adopting the Lagrange dual theory and the sub-gradient projection method. Subsequently, the game relationship among radars is formulated as a power allocation game, and the existence and uniqueness of the Nash equilibrium are proven. Simulation results are provided to demonstrate the convergence and effectiveness of the proposed algorithm.",
keywords = "game theory, MIMO radar, power control, signal to interference and noise ratio, transmit beamforming",
author = "Jiale Wu and Chenguang Shi and Jianjiang Zhou and Ziwei Wang",
note = "Publisher Copyright: {\textcopyright} Beijing HIWING Scientific and Technological Information Institute 2024.; 3rd International Conference on Autonomous Unmanned Systems, ICAUS 2023 ; Conference date: 09-09-2023 Through 11-09-2023",
year = "2024",
doi = "10.1007/978-981-97-1091-1\_5",
language = "英语",
isbn = "9789819710904",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "48--57",
editor = "Yi Qu and Mancang Gu and Yifeng Niu and Wenxing Fu",
booktitle = "Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) - Volume IV",
address = "德国",
}