Iterated joint probabilistic data association

Abstract

Some probabilistic data association methods, which have been published in recent years, are equivalent to appropriate networks in the paper. According to the property and the feature of JPDA network structure, a fast, compact and effective data association is presented. The data association performance of the new comparing with other probabilistic data association methods. Making use of the new method and a new adapative Kalman filter presented by Zhu Ziqian (1992), a MTT system is developed and is simulated with several groups typical multitarget motion trajectory in an airborne radar MTT system.