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An Improved Threshold Approximation for Local Vote Decision Fusion

Ridout, Martin S. (2013) An Improved Threshold Approximation for Local Vote Decision Fusion. IEEE Transactions on Signal Processing, 61 (5). pp. 1104-1106. ISSN 1053-587X. (doi:10.1109/TSP.2012.2235435) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1109/TSP.2012.2235435

Abstract

Local vote decision fusion is a recently proposed method of target detection for a wireless sensor network in which individual sensors combine their decisions with those of their neighbors and report to a fusion center only if there is a majority in favor of presence. The fusion center reaches a final decision about presence or absence according to whether the number of positive reports exceeds a threshold. This has been shown to give a higher target detection rate, for a specified false alarm rate, than a system in which sensors report their initial decisions directly to the fusion center. A critical aspect of the process is the appropriate setting of the threshold to achieve the specified false alarm rate.We suggest here a simple alternative to the normal approximation proposed

Item Type: Article
DOI/Identification number: 10.1109/TSP.2012.2235435
Uncontrolled keywords: Beta-binomial distribution, false alarm rate, sensor network, target detection
Subjects: Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics
Divisions: Faculties > Sciences > School of Mathematics Statistics and Actuarial Science > Statistics
Depositing User: Martin S Ridout
Date Deposited: 18 Jun 2014 13:32 UTC
Last Modified: 29 May 2019 12:41 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/41472 (The current URI for this page, for reference purposes)
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