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Proceedings Paper

A general theory of multitarget extended Kalman filters
Author(s): Ronald Mahler
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Paper Abstract

The conventional extended Kalman filter (EKF) is based on Taylor's series approximation of nonlinear motion and measurement models. The EKF cannot be directly generalized to multitarget situations since the multitarget state variable X = {x1,...,xn} exhibits discontinuous jumps in target number: X = 0, X = {x1}, X = {x1, x2}, etc. However, it is possible to extend X to a continuous multitarget state X = {x1,..., xn} via the concept of a point target-cluster x = (a,x) where x is interpreted as multiple targets co-located at target-state x, the expected number of which is a. We generalize the EKF to multitarget problems. We illustrate the approach by deriving predictor and corrector equations for a single-sensor, single-target EKF that integrates the functions of detection and tracking in the presence of missed detections and false alarms.

Paper Details

Date Published: 25 May 2005
PDF: 12 pages
Proc. SPIE 5809, Signal Processing, Sensor Fusion, and Target Recognition XIV, (25 May 2005); doi: 10.1117/12.603576
Show Author Affiliations
Ronald Mahler, Lockheed Martin MS2 Tactical Systems (United States)

Published in SPIE Proceedings Vol. 5809:
Signal Processing, Sensor Fusion, and Target Recognition XIV
Ivan Kadar, Editor(s)

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