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Comparison of Techniques for Ground Target Tracking

Author: Chih-Chung Ke; Jesus G Herrero; James Llinas; STATE UNIV OF NEW YORK AT BUFFALO CENTER OF MULTISOURCE INFORMATION FUSION.
Publisher: Ft. Belvoir Defense Technical Information Center JUN 2000.
Edition/Format:   eBook : English
Database:WorldCat
Summary:
There have been a lot of studies addressing target-tracking problems, in which targets like aircraft and missiles can move freely in the air without hard spatial constraints. Tracking ground targets is a completely different case. Variable terrain structures not only limit the target's moving capability, but also degrade the quality of measurement data. This paper describes an exploratory research project which  Read more...
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Material Type: Internet resource
Document Type: Internet Resource
All Authors / Contributors: Chih-Chung Ke; Jesus G Herrero; James Llinas; STATE UNIV OF NEW YORK AT BUFFALO CENTER OF MULTISOURCE INFORMATION FUSION.
OCLC Number: 227990955
Notes: Prepared in cooperation with Universidad Politecnica de Madrid, Madrid, Spain. See Also AD-M201 258, 2000 MSS. Proceedings on CD-ROM, January 2001. Original contains color plates: All DTIC reproductions will be in black and white.
Description: 13 p.

Abstract:

There have been a lot of studies addressing target-tracking problems, in which targets like aircraft and missiles can move freely in the air without hard spatial constraints. Tracking ground targets is a completely different case. Variable terrain structures not only limit the target's moving capability, but also degrade the quality of measurement data. This paper describes an exploratory research project which studied the tracking of a single ground target via traditional and atypical approaches. Traditional Kalman techniques taking into account the additional information provided by the ground restrictions in the tracking process, a road network in our study, were implemented. Additionally, another tracker using the Hidden Markov Model (HMM) with transition array was also developed under the same scenario. The results showed that Kalman techniques with available road information significantly outperform the conventional Kalman approaches in terms of longitudinal and transversal errors at the time when the target maneuvers. The proposed adaptive HMM tracker, composed of some regional HMM trackers, is not sensitive to transversal maneuvers, but may yield large longitudinal errors at the time when the target approaches the boundary of each subscenario.

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