A New Data Association Algorithm for Multiple Passive Sensors

This paper is concerned with the dynamic problem of associating measurements from S bearing-only sensors in the presence of clutter and missed detections. A new algorithm is investigated. Firstly, an S-D assignment method is utilized to partition LOS measurements and eliminate spurious measurements as possible. Then, the estimated positions of probable targets are sent to the following association algorithm (CJPDA) as the secondary measurements. Finally, iteration filter is implemented and the known tracks are maintained. Combining the two approaches reasonably, the proposed method generalizes the static S-D assignment to the dynamic S-D one and achieves good association performance. A simulation experiment is provided to compare the new algorithm with the wi-best S-D assignment by means of accuracies and the time requirements. The results demonstrate the effectiveness and efficiency of the proposed method.