Paper
31 May 1996 Comparison of IMMPDA and IMM-assignment algorithms on real air traffic surveillance data
Thiagalingam Kirubarajan, Murali Yeddanapudi, Yaakov Bar-Shalom, Krishna R. Pattipati
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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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thiagalingam Kirubarajan, Murali Yeddanapudi, Yaakov Bar-Shalom, and Krishna R. Pattipati "Comparison of IMMPDA and IMM-assignment algorithms on real air traffic surveillance data", Proc. SPIE 2759, Signal and Data Processing of Small Targets 1996, (31 May 1996); https://doi.org/10.1117/12.241206
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CITATIONS
Cited by 18 scholarly publications.
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KEYWORDS
Detection and tracking algorithms

Data modeling

Motion models

Target detection

Error analysis

Filtering (signal processing)

Surveillance

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