中文摘要：

针对地磁导航中匹配概率低的问题,基于统计特征和信息熵的特征参数进行分析,并结合地磁粗糙度和地磁累加梯度参数的特点,对传统的地磁信息熵参数提出改进。采用粒子群算法实现适配区的选择,仿真结果表明,基于改进的地磁熵参数的适配区选择大大缩短了运行时间,且能够筛选出更多适合匹配的区域,验证了改进地磁熵参数的有效性。

英文摘要：

The accurary of geomagnetic matching navigation can be improved a lot in a suitable geomagnetic matching area. Geomagnetic matching area characteristic parameters were analyzed based on statistical association and geomagnetic information entropy ,and traditional geomagnetic information entropy was improved, combined with geomagnetic coarseness and accumulated gradient characteristics. Particle Swarm Optimization（PSO）algorithm was employed to obtain the suitable areas. The results show that the geomagnetic matching area improved characteristic parameters reduce runtime largely, and more suitable areas can be selected,which illustrate the efficiency of improved geomagnetic information entropy parameters.