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Proceedings Paper

Evaluation of data association techniques in a real multitarget radar tracking environment
Author(s): Zhijian Hu; Henry Leung; Martin Blanchette
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Paper Abstract

This paper assesses tracking performance of a number of commonly-used data association techniques, including the nearest-neighbor (NN) data association with optimal and sub-optimal assignments, the weighted-average and nearest-neighbor version of the probabilistic data association (PDA), joint probabilistic data association (JPDA), cheap JPDA, and sub-optimal JPDA. The real radar tracking data used for the performance evaluation in this paper contain multiple maneuvering and non-maneuvering air targets in various clutter conditions. The study shows that all the data association methods perform well when the targets are well separated with near straight-line trajectories. In the case of closely spaced and maneuvering targets, the NN and NN version of JPDA methods are more effective than the weighted-average PDA and JPDA methods.

Paper Details

Date Published: 1 September 1995
PDF: 10 pages
Proc. SPIE 2561, Signal and Data Processing of Small Targets 1995, (1 September 1995); doi: 10.1117/12.217683
Show Author Affiliations
Zhijian Hu, Atlantis Scientific Systems Group Inc. (Canada)
Henry Leung, Defence Research Establishment Ottawa (Canada)
Martin Blanchette, Defence Research Establishment Ottawa (Canada)

Published in SPIE Proceedings Vol. 2561:
Signal and Data Processing of Small Targets 1995
Oliver E. Drummond, Editor(s)

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