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Proceedings Paper

Analysis of probabilistic data association filters in a real multitarget radar tracking environment
Author(s): Zhijian Hu; Henry Leung; Martin Blanchette
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Paper 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.

Paper Details

Date Published: 26 May 1995
PDF: 12 pages
Proc. SPIE 2468, Acquisition, Tracking, and Pointing IX, (26 May 1995); doi: 10.1117/12.210445
Show Author Affiliations
Zhijian Hu, Atlantis Scientific System Group Inc. (Canada)
Henry Leung, Defence Research Establishment Ottawa (Canada)
Martin Blanchette, Defence Research Establishment Ottawa (Canada)

Published in SPIE Proceedings Vol. 2468:
Acquisition, Tracking, and Pointing IX
Michael K. Masten; Larry A. Stockum, Editor(s)

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