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Proceedings Paper

Multi-agent system for target-adaptive radar tracking
Author(s): Alan C. O'Connor
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Paper Abstract

Sensor systems such as distributed sensor networks and radar systems are potentially agile - they have parameters that can be adjusted in real-time to improve the quality of data obtained for state-estimation and decision-making. The integration of such sensors with cyber systems involving many users or agents permits greater flexibility in choosing measurement actions. This paper considers the problem of selecting radar waveforms to minimize uncertainty about the state of a tracked target. Past work gave a tractable method for optimizing the choice of measurements when an accurate dynamical model is available. However, prior knowledge about a system is often not precise, for example, if the target under observation is an adversary. A multiple agent system is proposed to solve the problem in the case of uncertain target dynamics. Each agent has a different target model and the agents compete to explain past data and select the parameters of future measurements. Collaboration or competition between these agents determines which obtains access to the limited physical sensing resources. This interaction produces a self-aware sensor that adapts to changing information requirements.

Paper Details

Date Published: 7 May 2012
PDF: 9 pages
Proc. SPIE 8408, Cyber Sensing 2012, 84080N (7 May 2012); doi: 10.1117/12.921143
Show Author Affiliations
Alan C. O'Connor, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 8408:
Cyber Sensing 2012
Igor V. Ternovskiy; Peter Chin, Editor(s)

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