An Integrated Target Detection and Tracking Algorithm with Constant Track False Alarm Rate
LIU Hongliang ZHOU Shenghua LIU Hongwei YAN Junkun
(National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China)
(Collaborative Innovation Center of Information Sensing and Understanding at Xidian University, Xi’an 710071, China)
For traditional radar systems, target detection and target tracking are usually conducted separately. However, at the tracking stage, the target location information (tracking information) can be obtained, which can be fed back to the target detector to improve detection performance. Therefore, in this paper, an integrated detection and tracking algorithm with constant track false alarm rate is proposed. Firstly, a predicted gate is established according to the tracking information and target dynamic model. Then according to a prescribed track false alarm rate, the frame false alarm rate, i.e., the probability that there exists at least one false alarm in the predicted region, is calculated. Finally, detection thresholds in the predicted region are adjusted according to the frame false alarm rate, and target detection process is accomplished. Simulation results indicate that the proposed algorithm can significantly improve target detection probability and extend the tracking distance, and meanwhile it can guarantee that the target track can be terminated with a high probability when the target disappears suddenly.
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