Algorithm for the Multi-target Joint Detection and Ambiguity Resolving Based on Dynamic Programming

The mode of wide range surveillance and over-sight detection of satellite platform brings serious range ambiguity. The traditional method is to transmit multiple Pulse Repetition Frequencies (PRFs) and correlate them to solve the ambiguity. To ensure the detection of targets by using low threshold, which will lead to a large number of false alarms. In order to solve this problem, a new algorithm for the multi-target joint detection and range ambiguity resolving based on dynamic programming algorithm (DP) is presented. The algorithm divides the false alarm suppression and deblurring into several sub-problems. By splitting into sub-sequences for association operations, and then the sub-results are associated to obtain the unambiguous target state prediction that suppresses false alarms. It effectively alleviates the problem of sudden increase in computational complexity caused by the multi-target, and has better real-time performance.