Multi-radar tracking based on weighted k-means clustering fusion

The application of data fusion technology is a research focus in the field of radar tracking. In this paper, weighted k-means clustering method is applied to distinguish the measurements data set of different objectives. Then, the measurements in the different cluster are fused by using kalman filter. The experiment shows that filtering track with k-means clustering fusion is closer to the real track than without clustering.