An RSS based location estimation technique for cognitive relay networks

Handle URI:
http://hdl.handle.net/10754/564317
Title:
An RSS based location estimation technique for cognitive relay networks
Authors:
Qaraqe, Khalid A.; Hussain, Syed Imtiaz; Çelebi, Hasari Burak; Abdallah, Mohamed M.; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
In this paper, a received signal strength (RSS) based location estimation method is proposed for a cooperative wireless relay network where the relay is a cognitive radio. We propose a method for the considered cognitive relay network to determine the location of the source using the direct and the relayed signal at the destination. We derive the Cramer-Rao lower bound (CRLB) expressions separately for x and y coordinates of the location estimate. We analyze the effects of cognitive behaviour of the relay on the performance of the proposed method. We also discuss and quantify the reliability of the location estimate using the proposed technique if the source is not stationary. The overall performance of the proposed method is presented through simulations. ©2010 IEEE.
KAUST Department:
Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Communication Theory Lab
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010)
Conference/Event name:
2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2010
Issue Date:
Nov-2010
DOI:
10.1109/ISABEL.2010.5702852
Type:
Conference Paper
ISBN:
9781424481323
Appears in Collections:
Conference Papers; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorQaraqe, Khalid A.en
dc.contributor.authorHussain, Syed Imtiazen
dc.contributor.authorÇelebi, Hasari Buraken
dc.contributor.authorAbdallah, Mohamed M.en
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2015-08-04T06:23:24Zen
dc.date.available2015-08-04T06:23:24Zen
dc.date.issued2010-11en
dc.identifier.isbn9781424481323en
dc.identifier.doi10.1109/ISABEL.2010.5702852en
dc.identifier.urihttp://hdl.handle.net/10754/564317en
dc.description.abstractIn this paper, a received signal strength (RSS) based location estimation method is proposed for a cooperative wireless relay network where the relay is a cognitive radio. We propose a method for the considered cognitive relay network to determine the location of the source using the direct and the relayed signal at the destination. We derive the Cramer-Rao lower bound (CRLB) expressions separately for x and y coordinates of the location estimate. We analyze the effects of cognitive behaviour of the relay on the performance of the proposed method. We also discuss and quantify the reliability of the location estimate using the proposed technique if the source is not stationary. The overall performance of the proposed method is presented through simulations. ©2010 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectCognitive radioen
dc.subjectCooperative communicationsen
dc.subjectCooperative localizationen
dc.subjectLocation estimationen
dc.subjectReceived signal strengthen
dc.titleAn RSS based location estimation technique for cognitive relay networksen
dc.typeConference Paperen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentCommunication Theory Laben
dc.identifier.journal2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010)en
dc.conference.date7 November 2010 through 10 November 2010en
dc.conference.name2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2010en
dc.conference.locationRomaen
dc.contributor.institutionElectrical and Computer Engineering, Texas A and M University at Qatar, PO Box 23874, Doha, Qataren
kaust.authorAlouini, Mohamed-Slimen
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