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Proceedings Paper

Threshold considerations in distributed detection in a network of sensors
Author(s): Gene T. Whipps; Emre Ertin; Randolph L. Moses
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Paper Abstract

We consider the problem of distributed sensing and detection using a network of sensor nodes, and the challenges that arise in fusing disparate data. Multiple sensors make local inferences on the state of nature (e.g., the presence of a signal), and those observations are then transmitted to a regional fusion center. The fusion center is tasked to make improved decisions. We develop methods to optimize those decisions. Interoperability between disparate sensor nodes can be addressed by combining similar types of parameters (e.g., direction of arrival and location estimates to better infer location), albeit with varying qualities. As an initial problem, we consider the case where each sensor makes a binary decision on the presence of a signal source and the fusion node combines these to make a more accurate decision. We consider a lossy medium in which signals undergo a range-dependent propagation loss. We determine local thresholds that optimize a performance metric, including both constrained global detection performance and asymptotic error performance. We study the eect sensor node density on detection performance under a network load constraint. The asymptotic performance metrics provide indicators of the amount of value that each sensor contributes to the fusion task.

Paper Details

Date Published: 24 May 2012
PDF: 10 pages
Proc. SPIE 8389, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR III, 83891B (24 May 2012); doi: 10.1117/12.921361
Show Author Affiliations
Gene T. Whipps, U.S. Army Research Lab. (United States)
The Ohio State Univ. (United States)
Emre Ertin, The Ohio State Univ. (United States)
Randolph L. Moses, The Ohio State Univ. (United States)

Published in SPIE Proceedings Vol. 8389:
Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR III
Tien Pham, Editor(s)

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