摘要
为了在重力特征显著区域内实现航空重力匹配定位,定义了匹配区重力场模糊度指标作为匹配结果可信度的度量指标,提出了一种基于Monte Carlo方法的重力匹配算法。由于航空重力仪的测量值中包含各种误差因素,使用常用的相关匹配算法估计出的匹配位置往往不是飞行器的真实位置,而是随机分布于真实位置周围。根据这个特点,将地形匹配中的均方差算法(MSD)和Monte Carlo方法结合,形成一种新的重力匹配方法。该方法根据惯性导航系统指示位置从重力图上提取参考重力数据,将重力测量数据进行若干次随机干扰后和参考重力数据使用MSD算法进行匹配,得到若干个匹配位置,取其均值作为最终匹配位置。仿真结果表明,算法在重力场特征显著区域内匹配效果优于常用的相关分析算法。
In order to implement airborne gravity matching location in regions with significant gravity feature, the gravity ambiguity index of matching area is defined to explain the reliability of the matching result, and an airborne gravity matching locating algorithm based on Monte Carlo method was proposed. Due to the various errors of airborne gravity measurements, the matching location, by using conventional methods, is not the vehicle＇s actual location but is around the actual location randomly. According to this feature, an algorithm, which combines the Monte Carlo method with mean-square-error algorithm, was presented. The algorithm extracts reference gravity data from the gravity map around the position indicated by the INS, and disturbs gravity measurements randomly for several times. Then, the reference gravity data and the disturbed gravity measurements are used by mean-square-error algorithm to give a series of matching location. And the final matching location is the mean value of these matching locations. Simulation results show that, in regions with notable gravity characteristics, the performance is batter than that of conventional correlative matching algorithm.
出处
《中国惯性技术学报》
EI
CSCD
2007年第6期698-701,共4页
Journal of Chinese Inertial Technology
基金
国家高技术研究发展计划(2006AA12Z302)
作者简介
程力（1971-），男，讲师，博士研究生，主要研究方向为组合导航及重力匹配技术。E-mail：chengli@seu．edu．cn
联系人：蔡体菁（1961-），男，博士，教授，博士生导师。E-mail：caitij@sou．edu．cn
