Research of multi-dimension assignment algorithm of data association for passive-sensor location system

Direction-finding cross location algorithm in multi-passive-sensor location systems is a key problem. This paper studies the problem and proposes a modified multi-dimension (S-D) assignment algorithm to solve it. In order to find the global optimal solution, calculation of cost function of all intersection points of passive sensors must be considered, so the calculation burden is heavier. The algorithm proposed in this paper uses a method of passive cross location to eliminate some false intersection points, so that the computation burden of calculating the cost function is decreased. In the meantime, with the removing of the large number of false location points, the effect of data association can be improved compared with the case of calculating the global costs. Simulation results verify the feasibility and validity of the algorithm presented in this paper.