A Precise Positioning Algorithm for Long Baseline Positioning System with Uncertain Sound Speed

Due to its high accuracy and great positioning range, long baseline positioning system has a wide range of application in precise positioning of underwater static objects. In long baseline underwater positioning system, errors due to uncertain sound speed are the major facts to its positioning accuracy. In this paper, a precise positioning model of the long baseline system is established by setting the acoustic signal to propagate at different speeds between the target and different hydrophones, and particle swarm optimization algorithm is used to solve the multi-parameter optimization problem. Presented simulation results show that the proposed algorithm can effectively improve the positioning accuracy of the long baseline positioning system compared to existing algorithms.