A new method for target association using gridding association domain and template matching

Abstract

The accuracy of target association is important to the stability and precision of track. Traditional target association methods are based on the trace, but these usually lead to fault correlation. This paper develops a new track association approach using gridding association domain and template matching. First, the 3 by 3 gridding association domains are founded by target as the center, and the radar data in domains are mapped to image of 0 to 255 gray grades. Then, the target feature parameters are detected by the image processing algorithm, and the template is established according to the historical characteristic parameters. Finally, target association is achieved by template matching. The experiment shows that the proposed approach has improved the accuracy of target association in the actual environment.