A low complexity SNR estimator for QPSK modulation in AWGN channel

A low complexity non-data-aided (NDA) signal-to-noise ratio (SNR) estimator is proposed for quadrature phase shift keying (QPSK) signals in complex additive white Gaussian noise (AWGN) channel. The novel SNR estimator utilizes the constant amplitude characteristics of the in-phase and quadrature com...

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Hauptverfasser:	Zhixin Li, Nan Wu, Desheng Shi, Hua Wang, Jingming Kuang
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Sprache:	eng
Schlagworte:	AWGN channels Complexity theory Estimation NDA Phase shift keying QPSK modulation Signal to noise ratio SNR estimator
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creator	Zhixin Li Nan Wu Desheng Shi Hua Wang Jingming Kuang
description	A low complexity non-data-aided (NDA) signal-to-noise ratio (SNR) estimator is proposed for quadrature phase shift keying (QPSK) signals in complex additive white Gaussian noise (AWGN) channel. The novel SNR estimator utilizes the constant amplitude characteristics of the in-phase and quadrature components of QPSK modulation to evaluate the signal power and the noise power separately. The estimation mean and normalized mean square error (NMSE) of the proposed SNR estimator are investigated by Monte Carlo simulations. Results demonstrate that, compared with M 2 M 4 algorithm and Ijaz's method, the proposed estimator saves about 80% and 50% multiplications, respectively. Furthermore, the proposed method performs better than other NDA SNR estimators at the same computational complexity.
doi_str_mv	10.1109/ChinaCom.2013.6694578
format	Conference Proceeding
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Furthermore, the proposed method performs better than other NDA SNR estimators at the same computational complexity.</description><subject>AWGN channels</subject><subject>Complexity theory</subject><subject>Estimation</subject><subject>NDA</subject><subject>Phase shift keying</subject><subject>QPSK modulation</subject><subject>Signal to noise ratio</subject><subject>SNR estimator</subject><isbn>1479914061</isbn><isbn>9781479914067</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj81Kw0AUhceFoNY-gQjzAolz5zdZxqBVLG21issyk9yhI0mmJBHt2xuwi8PZne87hNwCSwFYflfuQ2fL2KacgUi1zqUy2Rm5AmnyHCTTcEHmw_DFGAOjtIL8ktwXtIk_tIrtocHfMB7pdvVGcRhDa8fYUz_ldbN9oW2svxs7htjR0NHic7Gi1d52HTbX5NzbZsD5qWfk4_HhvXxKluvFc1kskzDRxkR4dEZ7rizUGUjOnZFOOAW1FSjBYW11BQyFnrSNMJhBpZzkiN5nnAsxIzf_uwERd4d-MuyPu9NN8Qe4wkk4</recordid><startdate>201308</startdate><enddate>201308</enddate><creator>Zhixin Li</creator><creator>Nan Wu</creator><creator>Desheng Shi</creator><creator>Hua Wang</creator><creator>Jingming Kuang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201308</creationdate><title>A low complexity SNR estimator for QPSK modulation in AWGN channel</title><author>Zhixin Li ; Nan Wu ; Desheng Shi ; Hua Wang ; Jingming Kuang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-3feb76f25a1d81422b74b3b51da3e41beda6c10e36457737e81c5b42eeff82233</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>AWGN channels</topic><topic>Complexity theory</topic><topic>Estimation</topic><topic>NDA</topic><topic>Phase shift keying</topic><topic>QPSK modulation</topic><topic>Signal to noise ratio</topic><topic>SNR estimator</topic><toplevel>online_resources</toplevel><creatorcontrib>Zhixin Li</creatorcontrib><creatorcontrib>Nan Wu</creatorcontrib><creatorcontrib>Desheng Shi</creatorcontrib><creatorcontrib>Hua Wang</creatorcontrib><creatorcontrib>Jingming Kuang</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zhixin Li</au><au>Nan Wu</au><au>Desheng Shi</au><au>Hua Wang</au><au>Jingming Kuang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A low complexity SNR estimator for QPSK modulation in AWGN channel</atitle><btitle>2013 8th International Conference on Communications and Networking in China (CHINACOM)</btitle><stitle>ChinaCom</stitle><date>2013-08</date><risdate>2013</risdate><spage>129</spage><epage>132</epage><pages>129-132</pages><eisbn>1479914061</eisbn><eisbn>9781479914067</eisbn><abstract>A low complexity non-data-aided (NDA) signal-to-noise ratio (SNR) estimator is proposed for quadrature phase shift keying (QPSK) signals in complex additive white Gaussian noise (AWGN) channel. The novel SNR estimator utilizes the constant amplitude characteristics of the in-phase and quadrature components of QPSK modulation to evaluate the signal power and the noise power separately. The estimation mean and normalized mean square error (NMSE) of the proposed SNR estimator are investigated by Monte Carlo simulations. Results demonstrate that, compared with M 2 M 4 algorithm and Ijaz's method, the proposed estimator saves about 80% and 50% multiplications, respectively. Furthermore, the proposed method performs better than other NDA SNR estimators at the same computational complexity.</abstract><pub>IEEE</pub><doi>10.1109/ChinaCom.2013.6694578</doi><tpages>4</tpages></addata></record>
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subjects	AWGN channels Complexity theory Estimation NDA Phase shift keying QPSK modulation Signal to noise ratio SNR estimator
title	A low complexity SNR estimator for QPSK modulation in AWGN channel
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