TDOA approach for target localization based on improved genetic algorithm

Abstract

This paper presents a target localization problem based on the time difference of arrival (TDOA) measurements by employing an improved genetic algorithm (GA) for estimation. The weighted least square (WLS) technique is applied as an efficient existing approach. The TDOA target localization problem is formulated as an optimization problem, with a highly nonlinear and multimodal objective function. The hybrid Genetic Algorithm - Newton-Raphson (GA-NR) has been proposed as high accuracy and global convergence algorithm in this sense. Finally, the simulation results of the proposed optimization method show a significant performance improvement over existing WLS approach.