Optimization Placement Algorithm of Synergetic Reconnaissance System with Limited Communication Distance
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Abstract
To promote the localization performance of radiation sources in a surveillance region, the optimization placement is studied for a synergetic reconnaissance system constituted by multiple time different of arrival location systems with limited communication distance. Addressing on the geometric dilution of precision of emitters passive location in discretized region grids, an optimization placement problem for the synergetic reconnaissance system is formulated with the criterion of worst-case performance optimization. An optimization placement algorithm based on mixed coding particle swarm optimization ( PSO) is proposed. Simulation results demonstrate that comparing with the traditional uniform coding PSO, the proposed algorithm achieves better performance with faster convergence and lower location error.
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