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基于ICCP算法及其推广的重力定位
引用本文:刘繁明,孙枫,成怡.基于ICCP算法及其推广的重力定位[J].中国惯性技术学报,2004,12(5):36-39.
作者姓名:刘繁明  孙枫  成怡
作者单位:哈尔滨工程大学自动化学院,哈尔滨,150001
基金项目:总装备部“十五”预研课题资助(41309020307)
摘    要:基于ICCP算法的重力匹配定位可以用于限制推算定位随航行时间增长的位置误差。给出了ICCP算法的设计思想,同时针对算法的假设前提进行了推广,使算法能够在考虑重力传感器测量数据存在误差的情况下,实现推位航法的误差校正。仿真结果证明这种推广具有较好的定位精度,能够满足AUV的导航要求,对实现AUV的自主无源导航有重要意义。

关 键 词:AUV  ICCP算法  自主无源导航  重力匹配
文章编号:1005-6734(2004)05-0036-04
修稿时间:2004年8月4日

Gravity Localization Based on ICCP Algorithm and Its Generalization
LIU Fan-ming,SUN Feng,CHENG Yi.Gravity Localization Based on ICCP Algorithm and Its Generalization[J].Journal of Chinese Inertial Technology,2004,12(5):36-39.
Authors:LIU Fan-ming  SUN Feng  CHENG Yi
Abstract:The gravity localization based on the ICCP algorithm and its generalization can be used to bind the position errors inherent in dead-rocking navigation, which increase with time. The central thought of the algorithm is given in this paper. By generalizing it aimed at the presuppositions, the algorithm can realize the error correction of dead reckoning under the noise of gravimeter measurement data. The results of simulation prove that the generalization of algorithm could achieve a high accuracy to meet the requirement of AUV navigation. This is significant to the autonomous and passive navigation of AUV.
Keywords:AUV  ICCP algorithm  autonomous and passive navigation  gravity matching
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