Abstract: Due to some advent factors,tracking multiple targets in dense clutter becomes a difficult task,therefore,a new algorithm is presented in this paper which consists of m-best 2-D assignment algorithm and generalize likelihood ratio test.Simulated numerical examples are given,which demonstrate that this algorithm can solve the problem of "measurement-track" association efficiently,and discriminate the true or false track in short time which can reduce the need for storage and calculation enormously.