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Proceedings Paper

SME filter approach to multiple target tracking in cluttered environments
Author(s): Edward W. Kamen; Y Lee
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Paper Abstract

The symmetric measurement equation (SME) filter approach to track maintenance in multiple target tracking (MTT) is extended to the case when there are false and/or missing detections. In the SME filter approach to MTT there is no need to consider target/measurement association or to identify which data points in the measurement set are missing or are due to false detections. As a result, there is a substantial reduction in the computational complexity of the tracking filter, and in fact the computational requirements for implementing the filter are comparable to that of a standard Kalman filter of dimension 6N where N is the number of targets. In this paper the SME tracking filter is formulated for the case of N targets moving with constant velocities and with position measurements given in Cartesian coordinates. It is assumed that the measurement noises are zero mean, white, and independent (of each other), so that target motion can be decoupled into x, y, z components. A computer simulation is given in the case of three targets with false and missing measurements.

Paper Details

Date Published: 25 August 1992
PDF: 12 pages
Proc. SPIE 1698, Signal and Data Processing of Small Targets 1992, (25 August 1992); doi: 10.1117/12.139380
Show Author Affiliations
Edward W. Kamen, Georgia Institute of Technology (United States)
Y Lee, Georgia Institute of Technology (United States)

Published in SPIE Proceedings Vol. 1698:
Signal and Data Processing of Small Targets 1992
Oliver E. Drummond, Editor(s)

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