JIPDA: Automatic target tracking avoiding track coalescence

Joint integrated probabilistic data association (JIPDA) is effective in automatic multitarget tracking in an environment of false and missing measurements. However, JIPDA suffers from coalescence of closely spaced tracks. This paper develops a coalescence-avoiding version of JIPDA, which is named JIPDA. To accomplish this, the descriptor system approach is used that has previously been used for the development of JPDA, i.e., a coalescence-avoiding JPDA version. The effectiveness of JIPDA is demonstrated through simulations.