Analysis of probabilistic data association filters in a real multitarget radar tracking environment

Zhijian Hu; Henry Leung; Martin Blanchette

doi:10.1117/12.210445

26 May 1995 Analysis of probabilistic data association filters in a real multitarget radar tracking environment

Zhijian Hu, Henry Leung, Martin Blanchette

Proceedings Volume 2468, Acquisition, Tracking, and Pointing IX; (1995) https://doi.org/10.1117/12.210445
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

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.

Citation Download Citation

Zhijian Hu, Henry Leung, and Martin Blanchette "Analysis of probabilistic data association filters in a real multitarget radar tracking environment", Proc. SPIE 2468, Acquisition, Tracking, and Pointing IX, (26 May 1995); https://doi.org/10.1117/12.210445

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