Simulation Analysis of Joint Localization Algorithm Based on Distributed Arrays

A multi-array joint localization system has the performances of strong anti-interference and survivability, compared with the bearing-only target localization and tracking algorithm, which needs a large amount of calculation and is of poor real-time performance and low accuracy of localization and estimation. In this paper, a distributed arrays based on joint localization algorithm is proposed for underwater acoustic network. Simulation models of the localization methods of Jacobi iteration, triangular center of gravity, least square method(LSM) are presented. The simulation performances of three localization methods for different array numbers and distribution situations are analyzed and compared. Simulation results show that the Jacobi iteration method with tri-array can achieve better positioning accuracy and convergence performance than the other two methods. Furthermore, the suitable parameters of array layout, array numbers, and distances among arrays for distributed arrays joint localization are proposed to improve the target localizing performance and the network survivability. This study may provides a reference for engineering application of multi-array target positioning.