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

Distributed multiple-input-multiple-output radar in electronic countermeasure environments faces a critical tradeoff between surveillance performance and electromagnetic exposure. This article 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 biobjective optimization problem and solve it using an improved particle swarm optimization algorithm. Simulation results demonstrate the superior tradeoff performance compared to benchmark methods.