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Proceedings Paper

Loud target suppression: an innovative approach to reduce excessive sensor collaboration in distributed UGS systems
Author(s): Chad A. Stelzig; Grant Lipelt; Sharon Minor
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Paper Abstract

Effective management of sensor collaboration is crucial to the success of any distributed unattended ground sensor (UGS) system. A successful management scheme must allow nodes to share enough information to form and maintain tracks while minimizing unnecessary or excessive collaboration. Systems developed with the traditional unidirectional or request/response models are typically susceptible to excessive collaboration in the presence of a persistent loud sound source. The work presented in this paper addresses the challenge of suppressing excessive sensor collaboration in the presence of loud targets. The Loud Target Suppression (LTS) algorithm utilizes Voronoi tessellation as a means to allow sensor nodes to autonomously determine alert regions that support track formation with neighboring nodes. By replying only with sensor measurements that fall within the alert regions, the LTS algorithm is able to significantly reduce message quantities without impacting track accuracy. This paper will demonstrate that an alert-based sensor collaboration scheme, employed by Distributed Cluster Management (DCM), greatly reduces sensor collaboration in the presence of loud targets which results in a more scalable system.

Paper Details

Date Published: 11 May 2007
PDF: 8 pages
Proc. SPIE 6562, Unattended Ground, Sea, and Air Sensor Technologies and Applications IX, 65620M (11 May 2007); doi: 10.1117/12.719277
Show Author Affiliations
Chad A. Stelzig, General Dynamics C4 Systems (United States)
Grant Lipelt, General Dynamics C4 Systems (United States)
Sharon Minor, Army Night Vision and Electronic Sensors Directorate (United States)


Published in SPIE Proceedings Vol. 6562:
Unattended Ground, Sea, and Air Sensor Technologies and Applications IX
Edward M. Carapezza, Editor(s)

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