摘要
海洋区域的重力异常变化非常复杂,在利用重力异常数据进行水下载体的辅助导航的仿真中,有些航线我们可以得到较好的匹配结果,有些航线因为辅助区域的重力异常变化较小而不能提供较好辅助定位。利用区域内均匀分布的航线进行多航线的统计分析,可以给出比较客观的区域匹配结果。本文探讨了重力异常辅助惯性导航的相关技术,利用2'×2'的卫星测高重力异常数据,在纬度25°～30°,经度130°～135°的范围对SITAN算法的区域导航能力进行了统计分析。多条航线的统计结果表明,利用SITAN算法进行的重力异常辅助导航可以满足重力辅助导航要求。
The gravity anomaly variations of ocean are very complicated. For some routes with small variation of gravity anomaly, we may not be able to obtain accurate positioning results from gravity anomaly aided underwater vehicle navigation simulation. However, more realistic regional matching results can be achieved by statistical analysis of multiple routes evenly distributed in a specific region. Techniques of gravity anomaly aided inertial navigation have been discussed in this paper. Statistical analysis of SITAN algorithmic regional navigation ability has been conducted based on 2＇- 2＇ altimeter gravity anomaly data. The region is between 25°and 30° latitude, and between 130° and 135° longitude. Statistical analysis of multiple routes shows that the SITAN algorithmic gravity anomaly aided navigation could meet the gravity anomaly aided navigation requirements.
出处
《中国惯性技术学报》
EI
CSCD
北大核心
2009年第4期444-448,共5页
Journal of Chinese Inertial Technology
基金
中国科学院知识创新工程重要方向项目(kzcx2-yw-125)
国家自然科学基金项目(40774012)
关键词
重力异常
辅助导航
统计分析
卡尔曼滤波
gravity anomaly
aided navigation
statistical analysis
Kalman filter
