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The Method of Theoretic Estimation of BER of ML Receiver for Binary Coded Systems with Square QAM
In this paper we propose a method of the theoretic estimation of the bit error rate (BER) for coded systems with square quadrature amplitude modulation (QAM) constellation in memoryless flat fading channel with perfect channel state information (CSI) and maximum likelihood estimation of transmitted...
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creator | Natalin, Alexey B. Sergienko, Alexander B. |
description | In this paper we propose a method of the theoretic estimation of the bit error rate (BER) for coded systems with square quadrature amplitude modulation (QAM) constellation in memoryless flat fading channel with perfect channel state information (CSI) and maximum likelihood estimation of transmitted data. The specific case of additive white Gaussian noise (AWGN) channel is considered separately. The proposed method is based on the approximation of log likelihood ratio (LLR) and the model of equivalent communication channel with coded binary phase shift keying (BPSK) signal and memoryless flat fading. Systems with 1/2 convolutional code (K= 7), 16-QAM and 64-QAM signals are simulated and simulation results are compared with proposed theoretic estimation. |
doi_str_mv | 10.1109/ICC.2006.254912 |
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The specific case of additive white Gaussian noise (AWGN) channel is considered separately. The proposed method is based on the approximation of log likelihood ratio (LLR) and the model of equivalent communication channel with coded binary phase shift keying (BPSK) signal and memoryless flat fading. 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The specific case of additive white Gaussian noise (AWGN) channel is considered separately. The proposed method is based on the approximation of log likelihood ratio (LLR) and the model of equivalent communication channel with coded binary phase shift keying (BPSK) signal and memoryless flat fading. Systems with 1/2 convolutional code (K= 7), 16-QAM and 64-QAM signals are simulated and simulation results are compared with proposed theoretic estimation.</description><subject>Amplitude estimation</subject><subject>AWGN</subject><subject>Binary phase shift keying</subject><subject>Bit error rate</subject><subject>bit metric</subject><subject>Channel state information</subject><subject>error analysis</subject><subject>error correcting coding</subject><subject>Estimation theory</subject><subject>Fading</subject><subject>Gray codes</subject><subject>Maximum likelihood estimation</subject><subject>Quadrature amplitude modulation</subject><subject>State estimation</subject><issn>1550-3607</issn><issn>1938-1883</issn><isbn>1424403553</isbn><isbn>9781424403554</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotjsFOAjEURavRREDXLtz0BwZf-9rpzBImqCRDjIBr0pm-hhphtFM1_L0QXZ17z-LmMnYrYCwElPfzqhpLgHwstSqFPGNDoaRSgFrjORuIEotMFAVeHLPWkGEO5ooN-_4NQMsSxYDZ9Zb4gtK2c7zz_Ni6SCm0fNansLMpdPuTn86WJyxqvqSWwjdF7rvIp2Fv44FXnSPHV4c-0a7nPyFt-erzy0biL5PFNbv09r2nm3-O2OvDbF09ZfXz47ya1FkQRqfMNCoH0XiSuoXCgAPfEhjrc0DQDVjMVeuQDGowSgqFyjhnvCJvGwMNjtjd324gos1HPL6Ph40CqRAU_gIQwVP5</recordid><startdate>200606</startdate><enddate>200606</enddate><creator>Natalin, Alexey B.</creator><creator>Sergienko, Alexander B.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200606</creationdate><title>The Method of Theoretic Estimation of BER of ML Receiver for Binary Coded Systems with Square QAM</title><author>Natalin, Alexey B. ; Sergienko, Alexander B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-7b4601bfe25c0870d0fce07af60305b0a364cd3e735074214347dd7f4efab70b3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Amplitude estimation</topic><topic>AWGN</topic><topic>Binary phase shift keying</topic><topic>Bit error rate</topic><topic>bit metric</topic><topic>Channel state information</topic><topic>error analysis</topic><topic>error correcting coding</topic><topic>Estimation theory</topic><topic>Fading</topic><topic>Gray codes</topic><topic>Maximum likelihood estimation</topic><topic>Quadrature amplitude modulation</topic><topic>State estimation</topic><toplevel>online_resources</toplevel><creatorcontrib>Natalin, Alexey B.</creatorcontrib><creatorcontrib>Sergienko, Alexander B.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Natalin, Alexey B.</au><au>Sergienko, Alexander B.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>The Method of Theoretic Estimation of BER of ML Receiver for Binary Coded Systems with Square QAM</atitle><btitle>2006 IEEE International Conference on Communications</btitle><stitle>ICC</stitle><date>2006-06</date><risdate>2006</risdate><volume>3</volume><spage>1206</spage><epage>1211</epage><pages>1206-1211</pages><issn>1550-3607</issn><eissn>1938-1883</eissn><eisbn>1424403553</eisbn><eisbn>9781424403554</eisbn><abstract>In this paper we propose a method of the theoretic estimation of the bit error rate (BER) for coded systems with square quadrature amplitude modulation (QAM) constellation in memoryless flat fading channel with perfect channel state information (CSI) and maximum likelihood estimation of transmitted data. The specific case of additive white Gaussian noise (AWGN) channel is considered separately. The proposed method is based on the approximation of log likelihood ratio (LLR) and the model of equivalent communication channel with coded binary phase shift keying (BPSK) signal and memoryless flat fading. Systems with 1/2 convolutional code (K= 7), 16-QAM and 64-QAM signals are simulated and simulation results are compared with proposed theoretic estimation.</abstract><pub>IEEE</pub><doi>10.1109/ICC.2006.254912</doi><tpages>6</tpages></addata></record> |
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subjects | Amplitude estimation AWGN Binary phase shift keying Bit error rate bit metric Channel state information error analysis error correcting coding Estimation theory Fading Gray codes Maximum likelihood estimation Quadrature amplitude modulation State estimation |
title | The Method of Theoretic Estimation of BER of ML Receiver for Binary Coded Systems with Square QAM |
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