Using range profiles for data association in multiple-target tracking

A parameter, the matching score, is used to discuss the correlation property between range profiles of the same target or different targets. The property that the matching score between range profiles of two consecutive aspects from the same target is greater than that from different targets is utilized to correlate tracks in the multiple-target tracking problem. A data association algorithm based on comparing matching scores is proposed. How the aspect variation size and signal to noise ratio affect the success of data association is discussed.