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Proceedings Paper

Investigation of target tracking performance for unattended ground sensor networks employing distributed cluster management
Author(s): Chad A. Stelzig; Magdi A. Essawy; Sharon Minor
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Paper Abstract

Interest in the distribution of processing in unattended ground sensing (UGS) networks has resulted in new technologies and system designs targeted at reduction of communication bandwidth and resource consumption through managed sensor interactions. A successful management algorithm should not only address the conservation of resources, but also attempt to optimize the information gained through each sensor interaction so as to not significantly deteriorate target tracking performance. This paper investigates the effects of Distributed Cluster Management (DCM) on tracking performance when operating in a deployed UGS cluster. Originally designed to reduce communications bandwidth and allow for sensor field scalability, the DCM has also been shown to simplify the target tracking problem through reduction of redundant information. It is this redundant information that in some circumstances results in secondary false tracks due to multiple intersections and increased uncertainty during track initiation periods. A combination of field test data playback and Monte Carlo simulations are used to analyze and compare the performance of a distributed UGS cluster to that of an unmanaged centralized cluster.

Paper Details

Date Published: 18 April 2006
PDF: 9 pages
Proc. SPIE 6242, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2006, 62420F (18 April 2006); doi: 10.1117/12.666008
Show Author Affiliations
Chad A. Stelzig, General Dynamics Advanced Information Systems (United States)
Magdi A. Essawy, General Dynamics Advanced Information Systems (United States)
Sharon Minor, U.S. Army RDECOM CERDEC (United States)


Published in SPIE Proceedings Vol. 6242:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2006
Belur V. Dasarathy, Editor(s)

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