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Proceedings Paper

IMM architecture for track fusion
Author(s): Gregory A. Watson; Theodore R. Rice; Ali T. Alouani
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Paper Abstract

A numeric solution for the fusion of multiple tracks produced form an arbitrary number of asynchronous measurements has been recently developed. This track fusion solution is a weighted sum of the values associated with the previous fused estimate and the multiple individual estimates. This optimal asynchronous track fusion algorithm (OATFA) has properties that are identical to the Kalman filter. However, the deficiencies of the Kalman filter when tracking maneuvering targets are also exhibited by the OATFA but can be overcome with the use of the Interacting Multiple Model (IMM) algorithm. Consequently, it should be possible to replace the Kalman filter commonly employed in a conventional IM algorithm with the OATFA to from the IMM- OATFA. The IMM-OATFA will be developed and simulation result will be used to compare this performance with a conventional IMM tracker.

Paper Details

Date Published: 4 August 2000
PDF: 12 pages
Proc. SPIE 4052, Signal Processing, Sensor Fusion, and Target Recognition IX, (4 August 2000); doi: 10.1117/12.395057
Show Author Affiliations
Gregory A. Watson, Naval Surface Warfare Ctr. (United States)
Theodore R. Rice, Naval Surface Warfare Ctr. (United States)
Ali T. Alouani, Tennessee Technological Univ. (United States)


Published in SPIE Proceedings Vol. 4052:
Signal Processing, Sensor Fusion, and Target Recognition IX
Ivan Kadar, Editor(s)

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