Evaluation of data association techniques in a real multitarget radar tracking environment

Zhijian Hu; Henry Leung; Martin Blanchette

doi:10.1117/12.217683

1 September 1995 Evaluation of data association techniques in a real multitarget radar tracking environment

Zhijian Hu, Henry Leung, Martin Blanchette

Proceedings Volume 2561, Signal and Data Processing of Small Targets 1995; (1995) https://doi.org/10.1117/12.217683
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

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.

Citation Download Citation

Zhijian Hu, Henry Leung, and Martin Blanchette "Evaluation of data association techniques in a real multitarget radar tracking environment", Proc. SPIE 2561, Signal and Data Processing of Small Targets 1995, (1 September 1995); https://doi.org/10.1117/12.217683

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