Path Plan in Gravity Aided Inertial Navigation Based on Ant Colony Algorithm
Zeyuan Lu, Cai Tijing, Zhuopeng Yang · 2009
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.