针对现有目标定位求解算法推导复杂、工程实现困难的缺点,提出了一种基于交叉粒子群算法的空间飞行目标定位方法。通过建立飞行目标定位模型,引入遗传算法中的交叉因子改进标准粒子群算法,实现了空间连续飞行目标的定位。仿真结果表明利用交叉粒子群算法能有效地对空间飞行目标进行定位,定位精度达到0.5%。该方法可广泛应用于导弹、飞机等飞行目标定位领域。

A flight target localization method based on a modified particle swarm algorithm with crossover operator is proposed in view of the shortcoming of the existing target localization algorithm, which is complex calculation and hard project realization. Through establishing the flying target localization model, introductiing the crossover operator in genetic algorithm to improve the standard particle swarm algorithm, and realizing the continuous flight target localization. The results indicate that it could carry on the localization effectively through adopting the crossover particle swarm algorithm and the localization accuracy is below 0.5%. This method may be widely applied to the area such as missile, aeroplane and so on.