Station Layout Optimization for Underwater Measurement of Long Baseline Based on Two-Order Oscillating Particle Swarm Optimization

Acoustic measurement of underwater long baseline (LBL) system is one of the important ways of underwater trajectory tracking measurement. The positioning accuracy of underwater trajectory is largely affected by the base station layout geometry of LBL system when its observation error is certain. Aiming at the problems that traditional layout optimization algorithms are easy to fall into local optimum and converge slowly, a layout optimization method for LBL system based on two-order particle swarm optimization (PSO) is proposed. Firstly, a two-step multi-station time difference of arrival (TDOA) positioning method for LBL system is proposed. Secondly, combined with actual needs of underwater trajectory positioning accuracy, a layout optimization criterion based on the global geometric dilution of precision (GDOP) of underwater trajectory is constructed to address the problem of single traditional layout optimization object. On this basis, an iterative method for base station layout of LBL system based on two-order PSO is investigated. Finally, combined with the simulation verification of irregular geometric layout, two-order PSO accelerates the convergence speed and derives the optimal layout method which significantly reduces the global GDOP of the underwater trajectory measurement compared with traditional layout optimization algorithms.