Optimum Localization Algorithm Based on the Linear Least Squares Estimate for Bistatic Sonar

In the view of the redundant information problem of a bistatic sonar system, an optimal localization algorithm based on the linear least squares estimation is proposed. A mathematical model of underwater positioning is established based on a certain bistatic sonar. Through numerical simulation with the software MATLAB, the effect of the system parameters on localization accuracy is investigated. Also, the algorithm is compared with the time-only-localization (TOL) method. Simulation results show that the proposed algorithm, taking full advantage of the redundant information of the bistatic sonar, can effectively improve the localization accuracy, especially in the neighborhood of baseline and the side area of the bistatic sonar. The algorithm is affected weakly by baseline length and station site error with engineering application. This study may provide a theoretical basis for localization optimization problem of multistatic sonar.