摘要
为了有效地进行弹道重构,提出了将改进遗传算法应用于粒子滤波的重构方法。首先分析了弹道发射及量测过程,明确了主要误差源;然后根据选用的质点弹道模型,采用Matlab/SIMILINK进行了弹道建模,实现了对系统简单准确的描述;再次,提出采用改进的遗传粒子滤波方法进行弹道重构,估计弹道参数,在遗传操作中,为了不断产生适应值更大的个体,引入了混沌变异算子;最后进行了仿真计算,仿真结果表明,弹道重构结果精度较高,与实际模型更加接近。
In order to rebuilding the traiectory effectively, the improved genetic particle filter（IGPF） was raised to rebuilding the trajec tory. Firstly, based on analysing the proceeding of firing and detecting of the trajectory, the main error sources were finded out. Accordding to the particle ballistic, the SIMILINK of Matlab software was used to build the ballistic model, so the system can be described simply and accurately. Then the IGPF method was applied to rebuilding the trajectory, and the ballistic paramenters was estimated. In the genetic operation of IGPF, in order to generate unities that have large adaptive value, the mutation operator was introduced. Finally the simulation results showed that the results accuracy of trajector rebuilding was highly, and the rebuilding trajectory model and the real one became much closer.
出处
《舰船电子工程》
2012年第2期106-109,共4页
Ship Electronic Engineering
关键词
弹道重构
粒子滤波
遗传算法
混沌
rebuilding the trajector, particle filter, genetic algorithm, chaos
作者简介
宋万成．男，工程师，研究方向：弹药工程。
