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Proceedings Paper

Perception-net-based maneuvering target tracking
Author(s): Jae Weon Choi; Tae Hyun Fang; Keum Shik Hong
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Paper Abstract

The IMM estimator is known as a suboptimal hybrid filter that has been shown to be one of the most cost-effective hybrid state estimation schemes. The value of hybrid models for tracking algorithm is that the occurrence of target maneuvers can be explicitly included in the kinematic equations through regime jumps. However, the model probabilities of IMM filter trend to be slowly adapted from the non-maneuver mode to maneuver mode or from maneuver to non-maneuver, although sudden maneuver can take place in the true system. This is why the model probability is dependent on the past model probabilities. In order to track a suddenly and highly maneuvering target, the technique which combines IMM filter with error monitoring and recovery technique of perception nit is proposed in this paper. The perception net, as a structural representation of the sensing capabilities of system, is formed by the interconnection of logical senor with three types of modules: feature transformation module, data fusion module (DFM), and constraint satisfaction module. Observing the output and input of DFM, we can detect an error of input data. Error monitoring and recovery technique based on this function makes it possible to detect and identity errors, and to calibrate possible biases involved in sensed data and extracted features. Both detecting maneuver and compensating the estimated state can be achieved by employing the properly implemented error monitoring and recovery technique reduces the maximum values of estimation errors when maneuvering starts and finishes, and shows higher tracking performance especially for a highly maneuvering target. Its effectiveness is demonstrated through Monte-Carlo simulations.

Paper Details

Date Published: 15 July 1999
PDF: 10 pages
Proc. SPIE 3692, Acquisition, Tracking, and Pointing XIII, (15 July 1999); doi: 10.1117/12.352862
Show Author Affiliations
Jae Weon Choi, Pusan National Univ. (South Korea)
Tae Hyun Fang, Pusan National Univ. (South Korea)
Keum Shik Hong, Pusan National Univ. (South Korea)

Published in SPIE Proceedings Vol. 3692:
Acquisition, Tracking, and Pointing XIII
Michael K. Masten; Larry A. Stockum, Editor(s)

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