介绍了导弹下视景象匹配和常用算法,在分析基本粒子群算法(PSO)的基础上,调节学习因子、惯性权重和引入自适应变异算子,对基本PSO算法做了改进,将其作为导弹景象匹配的搜索策略,并简化了归一化积相关算法,提出了基于改进PSO的下视景象匹配算法,经过仿真分析,发现该种方法比隔点搜索等一般方法能有效提高匹配精确度,且算法简单有效。

The missile downward-looking scene match and the common algorithm were presented. On the basis of analyzing the basic PSO algorithm, it was improved by adjusting the learning rate factor, inertia weight and adaptive aberrance operator. The improved PSO algorithm was used to act as the search strategy in scene match. Combined with the simplified NPROD, the downward -looking scene match algorithm was presented based on the improved PSO algorithm. The simulation and analysis results show that the algorithm could effectively enhance match accuracy compared with common method such as search at every other point, and the algorithm is simple and effective.