Multiple Passive Sensor Multi-Target Tracking Based on Multidimensional Assignment

Abstract

In the field of passive multi-sensor multi-target tracking, since only angular measurement is available, data association turns into a quite challengeable task. To address this issue, a novel multidimensional/two dimensional (S-D/2-D) method based on multidimensional assignment algorithm is proposed in this paper. By constraint relaxation, S-D assignment algorithm is employed to solve the multi-sensor measurement-to-measurement association problem. The complete position information of targets are obtained using associated measurement group through maximum likelihood estimation. 2-D assignment is proposed to perform measurement-to-track association and the associated measurement can update the track. Large amounts of Monte Carlo simulation results show this method can solve passive multi-sensor multi-target tracking perfectly with low calculation load added and high precision.