摘要
为了提高重力辅助导航系统的定位精度,对重力匹配区域的选择进行了研究,提出一种基于SPSS回归分析的重力匹配区域选择方法。通过对重力数据进行回归分析,得到匹配区域的回归函数关系式,以此作为重力匹配判断准则对重力匹配区域进行选择。通过惯导/计程仪/重力组合导航系统的仿真试验,证明基于SPSS的重力匹配区域选择方法能找出重力匹配较好的区域,能提高重力辅助导航系统的定位精度。
In order to identify the inherent characteristics of gravity field, improve the system accuracy and fault-tolerant performance, and find a more effective gravity matching region, a gravity matching selection algorithm by SPSS regression analysis is set up. The algorithm studies the characteristic parameters of the gravity field through the basic principles of dimensional analysis, and a dimensional equation of the gravity field characteristics is determined by SPSS regression analysis. Simulation results of the integrated INS/DVL/Gravity navigation system show that the gravity matching selection algorithm can efficiently find a more effective gravity matching region, and the gravity aided navigation subsystem based on this algorithm can obtain best results and improved system accuracy.
出处
《中国惯性技术学报》
EI
CSCD
北大核心
2010年第1期81-84,共4页
Journal of Chinese Inertial Technology
基金
总装预研项目(51309010202)
国家高技术研究发展计划重大项目(2006AA06A203)
关键词
重力辅助导航
SPSS
量纲分析
区域选择
gravity aided navigation
statistical product and service solutions
dimensional analysis
region selection
