The multi-sensor track association under the influence of systematic bias is discussed.The algorithms that utilize target topology information are not reliable for track association due to the false alarm and missing detection in sensor observation.Thus we proposed an anti-bias track association algorithm based on target course reference.Firstly,a moving coordinate system was established taking the position of the observed target as the origin and its course as reference direction,and then rotation/translation transformation was made to the neighboring targets' data.Secondly,the distance of neighboring targets in different target reference coordinate system was used as the statistics for global optimal track association.The average distance of confirmed associated pairs in all target reference coordinate systems was taken as the matching metric,and the corresponding reference target pair reaching the minimum matching measurement was regarded as matched targets.The simulation results prove the effectiveness and robustness of the algorithm from several aspects including the target common observation ratio,systematic bias range and target density.