Algorithm for bearing track correlation based on grey incidence analysis

For the bearing track correlation problems of multi-sensor on the same platform, in this paper an algorithm for bearing track correlation is presented based on grey incidence analysis. In this algorithm each track´s azimuth information is considered as a discrete function of time. The grey incidence analysis for multi target track´s azimuth information is performed by using the degree of grey incidence in grey system theory, which is constructed by the line segment Hausdorff distance. On the basis of the degree of grey incidence a matrix is built and the track correlation pairs are determined. The results of simulation experiment show that this algorithm can effectively accomplish track correlation for multi-sensor on the same platform.