Analysis of probabilistic data association filters in a real multitarget radar tracking environment
Zhijian Hu, Henry Leung, Martin Blanchette · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1995
Probabilistic data association (PDA) is an important class of data association filters. This paper analyzes the performance of four types of PDA techniques: the standard PDA, the joint probabilistic data association (JPDA), the cheap JPDA and sub-optimal JPDA. Both the weighted and nearest neighbor PDA filters are evaluated and their track quality compared using real radar data sets which contain air targets of different characteristics, collected in various conditions.