Analysis of Radar Netting Disposition Based on Quantum Genetic Algorithm

Abstract

Aiming at the radar network test for ballistic target,the measurement equipment disposition design is a typical complex optimization problem. Based on the quantum genetic algorithm search mechanism and the characteristics of the optimization problem,the optimization algorithm calculation flow was designed by taking the ballistic measurement accuracy as objective function. The simulation was carried out to estimate the multi-radar equipment network measurement,and the influence of two rotation-angle strategies of quantum genetic algorithm on the search for global optimization solution was studied. Compared with the strategy of diminishing rotation angle,the strategy of increasing rotation-angle improves the probability of obtaining the global optimal solution,although the convergence speed decreases.The result offers reference for the application of quantum genetic algorithm in the field of network test.