Bit Error-Rate Minimizing Detector for Amplify-and-Forward Relaying Systems Using Generalized Gaussian Kernel

Handle URI:
http://hdl.handle.net/10754/306937
Title:
Bit Error-Rate Minimizing Detector for Amplify-and-Forward Relaying Systems Using Generalized Gaussian Kernel
Authors:
Ahmed, Qasim Zeeshan; Aissa, Sonia; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
In this letter, a new detector is proposed for amplifyand- forward (AF) relaying system when communicating with the assistance of relays. The major goal of this detector is to improve the bit error rate (BER) performance of the receiver. The probability density function is estimated with the help of kernel density technique. A generalized Gaussian kernel is proposed. This new kernel provides more flexibility and encompasses Gaussian and uniform kernels as special cases. The optimal window width of the kernel is calculated. Simulations results show that a gain of more than 1 dB can be achieved in terms of BER performance as compared to the minimum mean square error (MMSE) receiver when communicating over Rayleigh fading channels.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Communication Theory Lab
Citation:
Ahmed QZ, Alouini M-S, Aissa S (2013) Bit Error-Rate Minimizing Detector for Amplify-and-Forward Relaying Systems Using Generalized Gaussian Kernel. IEEE Signal Processing Letters 20: 55-58. doi:10.1109/LSP.2012.2229271.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Signal Processing Letters
Issue Date:
Jan-2013
DOI:
10.1109/LSP.2012.2229271
Type:
Article
ISSN:
1070-9908; 1558-2361
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6359759
Appears in Collections:
Articles; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorAhmed, Qasim Zeeshanen
dc.contributor.authorAissa, Soniaen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2013-12-17T07:03:32Z-
dc.date.available2013-12-17T07:03:32Z-
dc.date.issued2013-01en
dc.identifier.citationAhmed QZ, Alouini M-S, Aissa S (2013) Bit Error-Rate Minimizing Detector for Amplify-and-Forward Relaying Systems Using Generalized Gaussian Kernel. IEEE Signal Processing Letters 20: 55-58. doi:10.1109/LSP.2012.2229271.en
dc.identifier.issn1070-9908en
dc.identifier.issn1558-2361en
dc.identifier.doi10.1109/LSP.2012.2229271en
dc.identifier.urihttp://hdl.handle.net/10754/306937en
dc.description.abstractIn this letter, a new detector is proposed for amplifyand- forward (AF) relaying system when communicating with the assistance of relays. The major goal of this detector is to improve the bit error rate (BER) performance of the receiver. The probability density function is estimated with the help of kernel density technique. A generalized Gaussian kernel is proposed. This new kernel provides more flexibility and encompasses Gaussian and uniform kernels as special cases. The optimal window width of the kernel is calculated. Simulations results show that a gain of more than 1 dB can be achieved in terms of BER performance as compared to the minimum mean square error (MMSE) receiver when communicating over Rayleigh fading channels.en
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6359759en
dc.rightsArchived with thanks to IEEE Signal Processing Lettersen
dc.subjectAmplify-and-forward (AF)en
dc.subjectBit Error Rate (BER)en
dc.subjectcooperative communicationsen
dc.subjectkernel density estimationen
dc.titleBit Error-Rate Minimizing Detector for Amplify-and-Forward Relaying Systems Using Generalized Gaussian Kernelen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentCommunication Theory Laben
dc.identifier.journalIEEE Signal Processing Lettersen
dc.eprint.versionPost-printen
dc.contributor.institutionInstitut National de la Recherche Scientifique (INRS), University of Quebec, Montreal QC, Canadaen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorAhmed, Qasim Zeeshanen
kaust.authorAlouini, Mohamed-Slimen
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