Small Target Detection Algorithm Based On Weighted Dynamic Planning

The detection, recognition and tracking of point targets are the key technology to enhance the ability of guidance system. This dissertation studied the moving point target detection algorithm under the condition of low signal-to-noise-ratio(SNR) for the requirement of the national high technology 863, and developed a dynamic programming (DP) and track matching algorithm. Enhancements were achieved by performing directional weight operation precede to DP and target data association.In this dissertation, after comparing and analyzing several primary moving point target detection algorithms, the DP algorithm was selected and ameliorated. The improved DP algorithm has merits of simple and high efficiency, enhanced the probability of detection. Performance of the algorithm was theoretically analyzed. At the same time how to select parameters of the algorithm was analyzed. Lastly, computer simulations were done and the implementation performance of the algorithm on hardware was analyzed. Theoretical analysis and simulations indicate that the algorithm has good performance of detecting moving point target which range of the target speeds was known.