Tracking initiation and data association of multi-target passive tracking based on information fusion

摘要

Tracking initiation and data association are key techniques of multi-target passive tracking by a single observer. A new adaptive passive tracking initiation algorithm based on information fusion is proposed In this work. First, according to multiple features of the target, a multidimensional dynamically variable tracking gate is built for adaptive detection. Further, the sequential probability ratio test (SPRT) rule is used to confirm the track. And also, a new data association algorithm based on information fusion is proposed. Based on the information fusion of multiple features of a single valid observation, the decision of synthetic data association of all the targets is made. With the help of computer simulations, the tracking initiation algorithm is proven to be correct and effective, and the data association algorithm is proven to be superior to the NN method.