Research of Geomagnetic Matching Algorithm Based on Artificial Fish Swarm Searching Strategy

Abstract

Geomagnetic matching is a new developmental technology in recent years. For resolving the question of the searching space is too much, a geomagnetic matching algorithm based on AFSSS is proposed, which imitates the fish behaviors such as the preying, swarming, following and leaping etc to achieve the global optimum value, then achieve the emendation of inertial system. Firstly, the affine transformation model between inertial trajectory and real trajectory is displayed. Secondly, from the application of geomagnetic matching point of view, the state of artificial fish (AF), distance and food consistence are defined afresh, and the algorithm flow chart based on AFSSS is given. Lastly, the simulation analysis is performed in an actual magnetic reference map. The simulation results show that the algorithm actualizes the precision localization when the inertial system exist position error, velocity error and heading error and then validates the feasibility of the proposing method.