摘要
地磁匹配在磁场特征不明显的区域往往难以得到理想的匹配结果,在分析误匹配原因的基础上提出了一种改进的匹配算法。该算法先基于两个地磁矢量进行粗匹配,进一步缩小搜索范围,然后以地磁信息熵为目标函数,利用粒子群优化算法进行精匹配以提高磁场平缓区的匹配结果。算法尽可能少地引入地磁矢量,又保证了一定的匹配精度,兼顾了地磁基准图制图的复杂性与匹配精度。
Magnetic matching always cannot reach good results in areas with less obvious magneticfeatures,by analyzing the mechanism of false matching,a modified matching method is put forward.Firstly,two magnetic features and the correlation principle are used for coarse matching to narrow thesearch range.Then,PSO algorithm,which uses magnetic entropy as its objective function,is utilized toimprove matching results.The modified matching method introduces as few geomagnetic features aspossible,and guarantees the matching accuracy,giving consideration to both the complexity of makingmagnetic maps and matching accuracy.
作者
肖晶
齐晓慧
段修生
XIAO Jing;QI Xiao-hui;DUAN Xiu-sheng(Ordnance Engineering College,Shijiazhuang 050003,China)
出处
《火力与指挥控制》
CSCD
北大核心
2017年第9期133-136,共4页
Fire Control & Command Control
基金
军队维修重点实验室基金资助项目
关键词
地磁匹配
地磁特征
相关性度量
粒子群算法
magnetic matching
geomagnetic features
correlation principle
PSO algorithm