Weighted cooperative sensing for pulse radar signals

L Wang, C Williams, A Doufexi, JP McGeehan

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

2 Citations (Scopus)

Abstract

In this paper, the sensing performance implemented by a secondary cognitive system on a primary system (pulsed radar) is investigated. Firstly, the sensing performance considering the detection probability and the false alarm probability is presented analytically in a local single node for energy detection. Secondly, the sensing performance of a standard cooperative sensing algorithm is presented. To further improve the performance of cooperative sensing, a weighted cooperative sensing algorithm is proposed considering two criteria, the local constant false alarm rate (LCFAR) and the local constant detection rate (LCDR). Performance results indicate that under the same criteria, the sensing performance of the weighted energy sensing algorithm is better than the standard energy cooperative sensing algorithm
Translated title of the contributionWeighted cooperative sensing for pulse radar signals
Original languageEnglish
Title of host publicationIET Seminar on Wideband and Ultrawideband Systems and Technologies: Evaluating current Research and Development, 2008, London
PublisherInstitution of Engineering and Technology (IET)
Pages1 - 5
Number of pages5
ISBN (Print)9780863419362
DOIs
Publication statusPublished - Nov 2008
EventIET Seminar on Wideband and Ultrawideband Systems and Technologies: Evaluating Current Research and Development - London, United Kingdom
Duration: 1 Nov 2008 → …

Publication series

Name
ISSN (Print)05379989

Conference

ConferenceIET Seminar on Wideband and Ultrawideband Systems and Technologies: Evaluating Current Research and Development
CountryUnited Kingdom
CityLondon
Period1/11/08 → …

Bibliographical note

Rose publication type: Conference contribution

Sponsorship: This project is funded as part of the Core 4 Research Programme of the Virtual Centre of Excellence in Mobile & Personal Communications, Mobile VCE, (www.mobilevce.com), whose funding support, including that of EPSRC is gratefully acknowledged

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