Path Plan in Gravity Aided Inertial Navigation Based on Ant Colony Algorithm

被引：4
|
作者：
Lu, Zeyuan [1 ]
Cai, Tijing [1 ]
Yang, Zhuopeng [1 ]
机构：
[1] Southeast Univ, Sch Instrument Sci & Engn, Nanjing 210096, Peoples R China
来源：
PROCEEDINGS OF THE 2009 WRI GLOBAL CONGRESS ON INTELLIGENT SYSTEMS, VOL I | 2009年
关键词：
D O I：
10.1109/GCIS.2009.301
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
According to the characteristics of gravity aided inertial navigation, the paper presents an ant colony algorithm (ACA) which takes gravity correlation coefficients as heuristic factors, and the simulation of the algorithm based on simulated gravity anomaly map is carried out The results show paths derived from the algorithm are short, and nodes of paths have lower gravity correlation coefficient. The validity of ACA in path plan for gravity navigation is verified by simulation.
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页码：193 / 198
页数：6
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