For multiple radar target track correlation algorithm, the barren information in most measurement data leads to many problems including poor accuracy of radar target correlation and the low performance. According to the track correlation algorithm based on the theory of grey correlation analysis，the comprehensive Line segment Hausdorff Distance(LHD) grey correlation theory is analyzed and applied in the field of radar correlation. The simulation proves that the algorithm can comprehensively consider the distances among different tracks and the curve fitting for two tracks. Feature auxiliary information can not only be used for data association, but also for track association. In this paper, sequential grey association algorithm based on target feature auxiliary information is proposed. Simulation indicates that this algorithm has higher accuracy compared with traditional grey association algorithm and can improve the correlation probability in engineering practice.