Smoothing joint integrated probabilistic data association
Tae Han Kim, Darko Mušicki, Taek Lyul Song, Chul Mok Lee · IET Radar Sonar & Navigation · 2014
The authors extend the smoothing integrated probabilistic data association algorithm to multi‐target tracking in clutter, or alternatively, use smoothing to improve the joint integrated probabilistic data association (JIPDA) algorithm. The predictions of forward and backward JIPDA are fused to form the smoothing prediction, which is used for smoothing multi‐target data association.