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Proceedings Paper

Comparison of IMMPDA and IMM-assignment algorithms on real air traffic surveillance data
Author(s): Thiagalingam Kirubarajan; Murali Yeddanapudi; Yaakov Bar-Shalom; Krishna R. Pattipati
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Paper Abstract

In this paper a comparative performance analysis of the interacting multiple model (IMM) estimation algorithm combined with the probabilistic data association filter (PDAF) and the IMM-assignment algorithm for multisensor, multitarget tracking with real air traffic surveillance data is presented. The measurement database from two FAA sensors contains detections of about 75 targets in a wide variety of motion modes. Procedures for track formation/maintenance and data association with IMMPDAF are given. Global performance measures in terms of likelihood ratio and prediction errors are presented. Also, a benchmark track with maneuvers is used to compare the performances of these algorithms for individual tracks.

Paper Details

Date Published: 31 May 1996
PDF: 12 pages
Proc. SPIE 2759, Signal and Data Processing of Small Targets 1996, (31 May 1996); doi: 10.1117/12.241206
Show Author Affiliations
Thiagalingam Kirubarajan, Univ. of Connecticut (United States)
Murali Yeddanapudi, Univ. of Connecticut (United States)
Yaakov Bar-Shalom, Univ. of Connecticut (United States)
Krishna R. Pattipati, Univ. of Connecticut (United States)


Published in SPIE Proceedings Vol. 2759:
Signal and Data Processing of Small Targets 1996
Oliver E. Drummond, Editor(s)

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