Receiver disposition optimization in distributed passive radar imaging

Distributed passive radar imaging has been an emerging topic in radar imaging society because of its low-cost, increased-survivability and robustness. In the inverse problem of distributed passive imaging, location of receivers affects imaging quality a lot, while illuminators of opportunity remain to be uncontrollable. Therefore, we investigate the problem of receiver disposition optimization and propose the optimal scheme to locate those receivers by combining genetic algorithm(GA) with compressive sensing(CS) based imaging technique. Simulation results validate the effectiveness of the proposed algorithm.

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