基于特征值的重力场定位新方法  

A New Gravity Field Localization Algorithm Based on Feature Value

作　　者：胡鹏[1] 刘钧[1] 周学文[1] 

机构地区：[1]中国舰船研究设计中心,武汉430064

出　　处：《舰船电子工程》2015年第10期58-61,共4页Ship Electronic Engineering

摘　　要：利用重力场定位方法来确定载体的准确位置的方法,是近年来研究较多的新技术之一。但由于地球重力场分布具有差异性,所以不是所有的区域都适合应用重力场定位方法。论文提出综合利用重力场特征值及灰关联分析的定位的新方法,即根据重力场特征值的不同由训练好的BP网络来判断该区域是否适合进行匹配定位,如适合则根据灰关联匹配的阈值,找出最佳匹配点,进而确定载体位置。论文分析了该算法的理论基础并提出了具体的实现算法,经过仿真实验表明,此算法的运算速度快、匹配精度高、具有一定的抗测量误差的能力。Using gravity positioning method to discover the precise location of the carrier is one of new method developed in recent years.Because of the gravity field otherness of different area,this method is not fit to aplly in all regions.This paper puts forward one new algorithm of making use of gravity feature value and grey correlation analysis to determine carrier position,first of all building comprehensive feature value the of the matched area,secondly according to the comprehensive feature value to determine whether this area is fit to use gravity positioning method by trained BP network,finally finding out the best match point and then determining the position of the carrier in these fitted area.This paper analyzes the theoretical base of the algorithm and proposes the practical implementation algorithm.Simulation results show that the speed of that algorithms is fast and the precision of matching is high,simultaneously which has the good resistance to the measurement error.

关 键 词：重力场特征值 重力场匹配 阈值 综合特征参数 

分 类 号：U666[交通运输工程—船舶及航道工程]