Abstract
In a certain background of sea and air battlefield, the positioning accuracy of the multi-machine passive positioning communication system can be effectively improved by adjusting the position layout of each machine. In this paper, the GDOP formula of multi-machine time difference positioning algorithm error is deduced, the model of passive positioning communication system optimal station layout based on intelligent optimization algorithm is established, and the method of using improved particle swarm optimization algorithm and genetic algorithm to find the optimal station layout of multi-machine passive positioning communication system is put forward. Compared with the genetic algorithm, the improved particle swarm optimization (pso) reduces the positioning errors of regional targets and improves the instantaneous and rapid station distribution ability of multi-machine passive positioning communication system.
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