Weighted cooperative sensing for pulse radar signals

L Wang; C Williams; A Doufexi; JP McGeehan

doi:10.1049/ic.2008.0688

Weighted cooperative sensing for pulse radar signals

L Wang
, C Williams
, A Doufexi
, JP McGeehan

Communication Systems and Networks

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

3 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 contribution	Weighted cooperative sensing for pulse radar signals
Original language	English
Title of host publication	IET Seminar on Wideband and Ultrawideband Systems and Technologies: Evaluating current Research and Development, 2008, London
Publisher	Institution of Engineering and Technology (IET)
Pages	1 - 5
Number of pages	5
ISBN (Print)	9780863419362
DOIs	https://doi.org/10.1049/ic.2008.0688
Publication status	Published - Nov 2008
Event	IET 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

Conference	IET Seminar on Wideband and Ultrawideband Systems and Technologies: Evaluating Current Research and Development
Country/Territory	United Kingdom
City	London
Period	1/11/08 → …

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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title = "Weighted cooperative sensing for pulse radar signals",

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",

author = "L Wang and C Williams and A Doufexi and JP McGeehan",

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 ; IET Seminar on Wideband and Ultrawideband Systems and Technologies: Evaluating Current Research and Development ; Conference date: 01-11-2008",

year = "2008",

month = nov,

doi = "10.1049/ic.2008.0688",

language = "English",

isbn = "9780863419362",

publisher = "Institution of Engineering and Technology (IET)",

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booktitle = "IET Seminar on Wideband and Ultrawideband Systems and Technologies: Evaluating current Research and Development, 2008, London",

address = "United Kingdom",

}

Wang, L, Williams, C, Doufexi, A & McGeehan, JP 2008, Weighted cooperative sensing for pulse radar signals. in IET Seminar on Wideband and Ultrawideband Systems and Technologies: Evaluating current Research and Development, 2008, London. Institution of Engineering and Technology (IET), pp. 1 - 5, IET Seminar on Wideband and Ultrawideband Systems and Technologies: Evaluating Current Research and Development, London, United Kingdom, 1/11/08. https://doi.org/10.1049/ic.2008.0688

Weighted cooperative sensing for pulse radar signals. / Wang, L; Williams, C; Doufexi, A et al.
IET Seminar on Wideband and Ultrawideband Systems and Technologies: Evaluating current Research and Development, 2008, London. Institution of Engineering and Technology (IET), 2008. p. 1 - 5.

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

TY - GEN

T1 - Weighted cooperative sensing for pulse radar signals

AU - Wang, L

AU - Williams, C

AU - Doufexi, A

AU - McGeehan, JP

N1 - 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

PY - 2008/11

Y1 - 2008/11

N2 - 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

AB - 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

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DO - 10.1049/ic.2008.0688

M3 - Conference Contribution (Conference Proceeding)

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BT - IET Seminar on Wideband and Ultrawideband Systems and Technologies: Evaluating current Research and Development, 2008, London

PB - Institution of Engineering and Technology (IET)

T2 - IET Seminar on Wideband and Ultrawideband Systems and Technologies: Evaluating Current Research and Development

Y2 - 1 November 2008

ER -

Weighted cooperative sensing for pulse radar signals

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