SNR Estimation for M-ARY Non-Coherent Frequency Shift Keying Systems
This paper considers how to estimate the average signal-to-noise ratio (SNR) for a communication system employing orthogonal non-coherent M-ARY frequency shift keying (NCMFSK), in white Gaussian noise (AWGN) and over both symbol-by-symbol fading channels and block fading channels. The proposed algor...
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| Veröffentlicht in: | IEEE transactions on communications 2011-10, Vol.59 (10), p.2786-2795 |
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| creator | Hassan, S. A. Ingram, M. A. |
| description | This paper considers how to estimate the average signal-to-noise ratio (SNR) for a communication system employing orthogonal non-coherent M-ARY frequency shift keying (NCMFSK), in white Gaussian noise (AWGN) and over both symbol-by-symbol fading channels and block fading channels. The proposed algorithm finds its application in a variety of applications including a cooperative transmission system, which is the main motivation behind this study. The maximum likelihood estimator and one using data statistics have been derived and simulated for various scenarios including data-aided, non-data aided and joint estimation using both the data and pilot sequences. We also derive the Cramer-Rao bound for the estimators in the case of Rayleigh fading channels. The results show that for a particular region of interest (e.g. high SNR or low SNR) and depending upon the availability of pilot sequence, a particular SNR estimation scheme is suitable. |
| doi_str_mv | 10.1109/TCOMM.2011.080111.090627 |
| format | Article |
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A. ; Ingram, M. A.</creator><creatorcontrib>Hassan, S. A. ; Ingram, M. A.</creatorcontrib><description>This paper considers how to estimate the average signal-to-noise ratio (SNR) for a communication system employing orthogonal non-coherent M-ARY frequency shift keying (NCMFSK), in white Gaussian noise (AWGN) and over both symbol-by-symbol fading channels and block fading channels. The proposed algorithm finds its application in a variety of applications including a cooperative transmission system, which is the main motivation behind this study. The maximum likelihood estimator and one using data statistics have been derived and simulated for various scenarios including data-aided, non-data aided and joint estimation using both the data and pilot sequences. We also derive the Cramer-Rao bound for the estimators in the case of Rayleigh fading channels. The results show that for a particular region of interest (e.g. high SNR or low SNR) and depending upon the availability of pilot sequence, a particular SNR estimation scheme is suitable.</description><identifier>ISSN: 0090-6778</identifier><identifier>EISSN: 1558-0857</identifier><identifier>DOI: 10.1109/TCOMM.2011.080111.090627</identifier><identifier>CODEN: IECMBT</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Applied sciences ; Availability ; basis for cooperator selection ; Channels ; Cramer-Rao bounds ; Detection, estimation, filtering, equalization, prediction ; Estimation ; Exact sciences and technology ; Fading ; Frequency shift keying ; Gaussian ; Information, signal and communications theory ; Joints ; Modulation, demodulation ; non-coherent MFSK ; Pilots ; Rayleigh channels ; Signal and communications theory ; Signal to noise ratio ; Signal, noise ; SNR estimation ; Statistics ; Studies ; Systems, networks and services of telecommunications ; Telecommunications ; Telecommunications and information theory ; Transmission and modulation (techniques and equipments) ; Wireless communications</subject><ispartof>IEEE transactions on communications, 2011-10, Vol.59 (10), p.2786-2795</ispartof><rights>2015 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Oct 2011</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c368t-1192a90fef41df4524a5df7b1b61b8bd3ebd3be01cb87feeb1262d58a7954a083</citedby><cites>FETCH-LOGICAL-c368t-1192a90fef41df4524a5df7b1b61b8bd3ebd3be01cb87feeb1262d58a7954a083</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5981415$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5981415$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24707149$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Hassan, S. A.</creatorcontrib><creatorcontrib>Ingram, M. A.</creatorcontrib><title>SNR Estimation for M-ARY Non-Coherent Frequency Shift Keying Systems</title><title>IEEE transactions on communications</title><addtitle>TCOMM</addtitle><description>This paper considers how to estimate the average signal-to-noise ratio (SNR) for a communication system employing orthogonal non-coherent M-ARY frequency shift keying (NCMFSK), in white Gaussian noise (AWGN) and over both symbol-by-symbol fading channels and block fading channels. The proposed algorithm finds its application in a variety of applications including a cooperative transmission system, which is the main motivation behind this study. The maximum likelihood estimator and one using data statistics have been derived and simulated for various scenarios including data-aided, non-data aided and joint estimation using both the data and pilot sequences. We also derive the Cramer-Rao bound for the estimators in the case of Rayleigh fading channels. The results show that for a particular region of interest (e.g. high SNR or low SNR) and depending upon the availability of pilot sequence, a particular SNR estimation scheme is suitable.</description><subject>Applied sciences</subject><subject>Availability</subject><subject>basis for cooperator selection</subject><subject>Channels</subject><subject>Cramer-Rao bounds</subject><subject>Detection, estimation, filtering, equalization, prediction</subject><subject>Estimation</subject><subject>Exact sciences and technology</subject><subject>Fading</subject><subject>Frequency shift keying</subject><subject>Gaussian</subject><subject>Information, signal and communications theory</subject><subject>Joints</subject><subject>Modulation, demodulation</subject><subject>non-coherent MFSK</subject><subject>Pilots</subject><subject>Rayleigh channels</subject><subject>Signal and communications theory</subject><subject>Signal to noise ratio</subject><subject>Signal, noise</subject><subject>SNR estimation</subject><subject>Statistics</subject><subject>Studies</subject><subject>Systems, networks and services of telecommunications</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Transmission and modulation (techniques and equipments)</subject><subject>Wireless communications</subject><issn>0090-6778</issn><issn>1558-0857</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkE1PHDEMQCPUSmyhv4BLVKnqaRY7H5PkiLbQVrAgsXDgFGVmnTJod4Yms4f99w0M4sDBtmQ_W9ZjjCPMEcGd3i1ulsu5AMQ52JJLcVALc8BmqLWtwGrzic2gdKvaGHvIvuT8BAAKpJyxn6vrW36ex24bxm7oeRwSX1Zntw_8euirxfBIifqRXyT6t6O-3fPVYxdHfkn7rv_LV_s80jYfs88xbDJ9fatH7P7i_G7xu7q6-fVncXZVtbK2Y4XoRHAQKSpcR6WFCnodTYNNjY1t1pJKNATYNtZEogZFLdbaBuO0CmDlEfsx3X1OQ3knj37b5ZY2m9DTsMve1dKBUEIU8tsH8mnYpb48512RZKTUskB2gto05Jwo-udUPKS9R_Avcv2rXP8i109y_SS3rH5_ux9yGzYxhb7t8vu-UAYMKle4k4nriOh9rJ1FhVr-BzIygbg</recordid><startdate>20111001</startdate><enddate>20111001</enddate><creator>Hassan, S. 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A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c368t-1192a90fef41df4524a5df7b1b61b8bd3ebd3be01cb87feeb1262d58a7954a083</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Applied sciences</topic><topic>Availability</topic><topic>basis for cooperator selection</topic><topic>Channels</topic><topic>Cramer-Rao bounds</topic><topic>Detection, estimation, filtering, equalization, prediction</topic><topic>Estimation</topic><topic>Exact sciences and technology</topic><topic>Fading</topic><topic>Frequency shift keying</topic><topic>Gaussian</topic><topic>Information, signal and communications theory</topic><topic>Joints</topic><topic>Modulation, demodulation</topic><topic>non-coherent MFSK</topic><topic>Pilots</topic><topic>Rayleigh channels</topic><topic>Signal and communications theory</topic><topic>Signal to noise ratio</topic><topic>Signal, noise</topic><topic>SNR estimation</topic><topic>Statistics</topic><topic>Studies</topic><topic>Systems, networks and services of telecommunications</topic><topic>Telecommunications</topic><topic>Telecommunications and information theory</topic><topic>Transmission and modulation (techniques and equipments)</topic><topic>Wireless communications</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hassan, S. A.</creatorcontrib><creatorcontrib>Ingram, M. A.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Hassan, S. A.</au><au>Ingram, M. A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>SNR Estimation for M-ARY Non-Coherent Frequency Shift Keying Systems</atitle><jtitle>IEEE transactions on communications</jtitle><stitle>TCOMM</stitle><date>2011-10-01</date><risdate>2011</risdate><volume>59</volume><issue>10</issue><spage>2786</spage><epage>2795</epage><pages>2786-2795</pages><issn>0090-6778</issn><eissn>1558-0857</eissn><coden>IECMBT</coden><abstract>This paper considers how to estimate the average signal-to-noise ratio (SNR) for a communication system employing orthogonal non-coherent M-ARY frequency shift keying (NCMFSK), in white Gaussian noise (AWGN) and over both symbol-by-symbol fading channels and block fading channels. The proposed algorithm finds its application in a variety of applications including a cooperative transmission system, which is the main motivation behind this study. The maximum likelihood estimator and one using data statistics have been derived and simulated for various scenarios including data-aided, non-data aided and joint estimation using both the data and pilot sequences. We also derive the Cramer-Rao bound for the estimators in the case of Rayleigh fading channels. The results show that for a particular region of interest (e.g. high SNR or low SNR) and depending upon the availability of pilot sequence, a particular SNR estimation scheme is suitable.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TCOMM.2011.080111.090627</doi><tpages>10</tpages></addata></record> |
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| subjects | Applied sciences Availability basis for cooperator selection Channels Cramer-Rao bounds Detection, estimation, filtering, equalization, prediction Estimation Exact sciences and technology Fading Frequency shift keying Gaussian Information, signal and communications theory Joints Modulation, demodulation non-coherent MFSK Pilots Rayleigh channels Signal and communications theory Signal to noise ratio Signal, noise SNR estimation Statistics Studies Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) Wireless communications |
| title | SNR Estimation for M-ARY Non-Coherent Frequency Shift Keying Systems |
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