基于粒子群优化的飞行器地磁相关匹配新算法仿真  

Simulation research on the correlation matching algorithm based on particle swarm optimization for aircraft geomagnetic aid navigation

作　　者：徐遵义[1,2] 魏东[2] 李璟[2] 晏磊[1] 

机构地区：[1]北京大学遥感与GIS研究所空间信息集成与3S工程应用北京市重点实验室,北京100871 [2]山东建筑大学计算机科学与技术学院,山东济南250101

出　　处：《舰船科学技术》2011年第11期3-6,16,共5页Ship Science and Technology

基　　金：国家自然科学基金资助项目(60972052);中国博士后基金资助项目(201000470147)

摘　　要：鉴于飞行器地磁相关匹配算法高精度、高可靠性和高实时性要求,本文将影响地磁相关匹配算法的相似性度量函数、地磁特征参量和搜索策略综合考虑。相似度度量函数采用归一化积相关函数、地磁特征参量选用归一化的地磁场总强度,将粒子群优化算法引入匹配区搜索。基于海洋实测地磁场数据进行了实验室仿真验证。实验结果表明,在匹配概率、匹配精度与传统地磁相关匹配算法基本保持一致的情况下,算法平均运行时间从7~11 s缩短至1~2 s。Considering the requirements of the high accuracy,high reliability and real time for the aircraft geomagnetic correlation matching algorithm,the similarity core function,geomagnetic properties and search methods will be processed synthetically in this paper.The normal production correlation algorithm is introduced as the similarity core function,the feature normalization of the geomagnetic field is introduced as the matching parameters and the particle swarm optimization algorithm is introduced for reducing the running time.The experiments have been done in the laboratory based on the real measured geomagnetic field data,its results show that：the matching probability and accuracy of the new algorithm are the same as the traditional one on the whole,the average running time is shortened from 7～11 s to 1～2 s.

关 键 词：粒子群优化 地磁匹配 TERCOM 特征归一化 

分 类 号：V444[航空宇航科学与技术—飞行器设计] TP339[自动化与计算机技术—计算机系统结构]