水下重力异常最近等值线迭代匹配算法的改进

基金项目: 全国优秀博士学位论文作者专项基金资助项目(200344)；国家自然科学基金资助项目(40774031)

详细信息

Improvement on the Iterated Closest Contour Point Matching Algorithm Using Underwater Gravity Anomalies

¹Institute of Surveying and Mapping,Information Engineering University,66 Middle Longhai Road,Zhengzhou 450052,China;² 73603 Troops,46 Wukesong Road,Nanjing 210049,China

Funds: 全国优秀博士学位论文作者专项基金资助项目(200344)；国家自然科学基金资助项目(40774031)

摘要: 提出了基于费波纳奇数列调优的最近等值线迭代匹配算法;针对最近等值线迭代匹配只适用于真实航迹位于惯导航迹附近的局限性,提出了相应的改进算法,即先基于相关极值匹配将惯导航迹修正到真实航迹附近,然后再进行最近等值线迭代匹配,以进一步提高修正精度。通过试验区在不同仿真条件下的计算分析表明,惯导导航误差均得到了有效的修正。
- 重力辅助惯性导航 /
- 最近等值线迭代匹配 /
- 费波纳奇数列 /
- 相关极值 /
- 重力异常
Abstract: The iterated closest contour point(ICCP) matching algorithm based on Fibonacci number series was proposed.The improved ICCP matching algorithm was also presented because of its confinement to the real track near the INS track.The INS track was corrected based on correlative extremum at first,then ICCP matching was made in order to further improve the accuracy.By analyzing the data within experimental area under different simulative conditions,the results show that all navigation errors were corrected effectively.
- gravity-aided inertial navigation /
- iterated closest contour point matching /
- Fibonacci number series /
- correlative extremum /
- gravity anomaly