Joint Optimization of Node Positions and Transmit States for Distributed MIMO Surveillance in Electronic Countermeasure Environments

IEEE Transactions on Aerospace and Electronic Systems 2026

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Authors: Zhenxing Zhang, Xueting Li, Yunhao Li, Tianxian Zhang, Xiang-Gen Xia
DOI: 10.1109/taes.2026.3652994
Cited by: 1
References: 42

Abstract

Distributed MIMO radar in electronic countermeasure environments faces a critical trade-off between surveillance performance and electromagnetic exposure. This paper jointly optimizes node positions and transmit states to balance the signal-to-interference-plus-noise ratio against the probability of interception by self-protection jammers. We formulate this as a 0-1 mixed-integer bi-objective optimization problem and solve it using an improved particle swarm optimization algorithm. Simulation results demonstrate the superior trade-off performance compared to benchmark methods.

Fields of Study & Subjects

Radar Systems and Signal Processing Wireless Communication Security Techniques Wireless Signal Modulation Classification

Publication details

Journal / source
IEEE Transactions on Aerospace and Electronic Systems
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
62
Pages
4663–4677
Publication date
1 January 2026