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Proceedings Paper

Improving stability of EKF filter used by the symmetrical measurement equation approach to multiple-target tracking
Author(s): Omur Yuksel Bas; Minhtri Ho; Bahram Shafai; Stephen P. Linder
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Paper Abstract

Multiple Target Tracking (MTT) requires the proper association of measurement data with individual targets before the data is filtered and target positions estimated. Because data association is computationally intensive, there has been interest in the Symmetrical Measurement Equation (SME) approach to MTT. An SME tracker subsumes the data association step by defining a measurement equation where the ordering of measurements is no longer required. However, the acceptance of the SME approach has been curtailed by a lack of stability in the Extended Kalman Filter (EKF) and the ability of the SME track to properly maintain tracks during track crossings. Tweaking the EKF parameter can improve stability and track maintenance, but we show that an extension to the EKF filter, the Proportional-integral EKF, produces superior results. Integral action improved track maintenance at crossings, reducing the incidence of track switching by more than an order of magnitude. The SME tracker now shows promise of providing superior stability and reduced estimation error while tracking multiple, crossing, and maneuvering targets.

Paper Details

Date Published: 4 October 1999
PDF: 11 pages
Proc. SPIE 3809, Signal and Data Processing of Small Targets 1999, (4 October 1999); doi: 10.1117/12.364024
Show Author Affiliations
Omur Yuksel Bas, Northeastern Univ. (United States)
Minhtri Ho, MIT Lincoln Labs. (United States)
Bahram Shafai, Northeastern Univ. (United States)
Stephen P. Linder, The Pennsylvania State Univ. (United States)


Published in SPIE Proceedings Vol. 3809:
Signal and Data Processing of Small Targets 1999
Oliver E. Drummond, Editor(s)

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