Research on data association in three passive sensors network

In this paper, it is concerned with the static data association problem in the three distributed passive sensors network, in which each sensor can observe 2-dimensional angles (azimuth and elevation) of each target. A new fast data association approach is proposed in a multiple target dense environment with noise, missed detections, false alarm, and unknown number of the targets. Firstly, the data association of three sensors is transformed into the data association of two sensors about three groups, and the possible correct pairs of association are achieved by the statistic test. Secondly, the pairs of association which are detected by three sensors are got by the analysis method proposed in this paper, which is instead of m-D assignment. Lastly, the pairs of association which are detected by two sensors are got. The simulation results show that the proposed approach has higher association accuracy than the other conventional approaches.