Data association algorithm for multi-target in passive location system

The data association in passive location system was proposed, which is essentially searching the maximum of the posterior probability. The mathematical model of joint data association for two passive sensors in 3-D was established, the solving of maximum of the posterior probability was transformed into a particular assignment problem. The number of assignment is uncertain due to the missed detection and false alarm, so a new method based on the improved partheno-genetic algorithm was proposed. The solution matrix and its column are respectively regarded as the individual and the gene, the crossover, and the mutation were performed to the individual. The simulated results show that the proposed method has the character of fast convergence and high association accuracy, so the model and the solving process are right.