A closed-form of cooperative detection probability using EGC-based soft decision under Suzuki fading

Dinh, TMT; Nguyen, QT; Sandrasegaran, K

A closed-form of cooperative detection probability using EGC-based soft decision under Suzuki fading

Dinh, TMT Nguyen, QT Sandrasegaran, K

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Publication Type:: Conference Proceeding
Citation:: 2017, 11th International Conference on Signal Processing and Communication Systems, ICSPCS 2017 - Proceedings, 2018, 2018-January pp. 1 - 5
Issue Date:: 2018-01-25

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Field	Value	Language
dc.contributor.author	Dinh, TMT	en_US
dc.contributor.author	Nguyen, QT	en_US
dc.contributor.author	Sandrasegaran, K https://orcid.org/0000-0003-1270-5756	en_US
dc.date.available	2020-05-25T19:23:18Z
dc.date.issued	2018-01-25	en_US
dc.identifier.citation	2017, 11th International Conference on Signal Processing and Communication Systems, ICSPCS 2017 - Proceedings, 2018, 2018-January pp. 1 - 5	en_US
dc.identifier.isbn	9781538628874	en_US
dc.identifier.uri	http://hdl.handle.net/10453/127204
dc.description.abstract	© 2017 IEEE. In cooperative spectrum sensing based on energy detection, several researchers have concluded that Soft Decision has better detection performance than Hard Decision. In this paper, we focus on Equal Gain Combining (EGC)-based soft decision under Suzuki fading which is a composite Rayleigh-lognormal fading. We use Moment-Generating function (MGF) to approximate Probability Density Function (PDF) of power sum of received signals at Fusion Center. Then we propose a novel method to evaluate cooperative detection performance under the effect of i.i.d Suzuki fading by using Gauss-Hermite approximation and MGF matching. Finally, we compare the results of EGC-based Soft Decision with those of Hard Decision.	en_US
dc.relation.ispartof	2017, 11th International Conference on Signal Processing and Communication Systems, ICSPCS 2017 - Proceedings	en_US
dc.relation.isbasedon	10.1109/ICSPCS.2017.8270508	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	A closed-form of cooperative detection probability using EGC-based soft decision under Suzuki fading	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2018-January	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US
pubs.volume	2018-January	en_US

Abstract:

© 2017 IEEE. In cooperative spectrum sensing based on energy detection, several researchers have concluded that Soft Decision has better detection performance than Hard Decision. In this paper, we focus on Equal Gain Combining (EGC)-based soft decision under Suzuki fading which is a composite Rayleigh-lognormal fading. We use Moment-Generating function (MGF) to approximate Probability Density Function (PDF) of power sum of received signals at Fusion Center. Then we propose a novel method to evaluate cooperative detection performance under the effect of i.i.d Suzuki fading by using Gauss-Hermite approximation and MGF matching. Finally, we compare the results of EGC-based Soft Decision with those of Hard Decision.

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http://hdl.handle.net/10453/127204