LMS algorithm based error correction technique in in-phase and quadrature channel signal processing
Every communication receiver that uses in-phase and quadrature channel signal processing technique encounters problems related to matching of gain and phase in both the channels. The gain and phase imbalances occur between Low Pass Filter and Local Oscillator used in both the channels and as a resul...
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creator | Mandal, A. Kaushik, B. K. Kumar, B. Tyagi, K. C. Agarwal, R. P. |
description | Every communication receiver that uses in-phase and quadrature channel signal processing technique encounters problems related to matching of gain and phase in both the channels. The gain and phase imbalances occur between Low Pass Filter and Local Oscillator used in both the channels and as a result the performance of the receivers and the quality of the received signals are degraded. The imbalances produced may cause insufficient attenuation in image frequency band leading to interference. The problem needs to be compensated. This paper represents the design and implementation of Coordinate Rotation Digital Computer (CORDIC) algorithm based Adaptive FIR filter using Least Mean Square (LMS) algorithm to give a solution for correcting I/Q imbalances. The design of CORDIC in the vector rotation mode results in high system throughput due to its pipelined architecture where latency is reduced in each of the pipelined stage and finds its appropriate application in real time signal processing. The good convergence of CORDIC in the given LMS algorithm based adaptive filter facilitates in easy calculation of new filter weights. |
doi_str_mv | 10.1109/ETNCC.2011.6255891 |
format | Conference Proceeding |
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C. ; Agarwal, R. P.</creator><creatorcontrib>Mandal, A. ; Kaushik, B. K. ; Kumar, B. ; Tyagi, K. C. ; Agarwal, R. P.</creatorcontrib><description>Every communication receiver that uses in-phase and quadrature channel signal processing technique encounters problems related to matching of gain and phase in both the channels. The gain and phase imbalances occur between Low Pass Filter and Local Oscillator used in both the channels and as a result the performance of the receivers and the quality of the received signals are degraded. The imbalances produced may cause insufficient attenuation in image frequency band leading to interference. The problem needs to be compensated. This paper represents the design and implementation of Coordinate Rotation Digital Computer (CORDIC) algorithm based Adaptive FIR filter using Least Mean Square (LMS) algorithm to give a solution for correcting I/Q imbalances. The design of CORDIC in the vector rotation mode results in high system throughput due to its pipelined architecture where latency is reduced in each of the pipelined stage and finds its appropriate application in real time signal processing. 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K.</creatorcontrib><creatorcontrib>Kumar, B.</creatorcontrib><creatorcontrib>Tyagi, K. C.</creatorcontrib><creatorcontrib>Agarwal, R. P.</creatorcontrib><title>LMS algorithm based error correction technique in in-phase and quadrature channel signal processing</title><title>2011 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC)</title><addtitle>ETNCC</addtitle><description>Every communication receiver that uses in-phase and quadrature channel signal processing technique encounters problems related to matching of gain and phase in both the channels. The gain and phase imbalances occur between Low Pass Filter and Local Oscillator used in both the channels and as a result the performance of the receivers and the quality of the received signals are degraded. The imbalances produced may cause insufficient attenuation in image frequency band leading to interference. The problem needs to be compensated. This paper represents the design and implementation of Coordinate Rotation Digital Computer (CORDIC) algorithm based Adaptive FIR filter using Least Mean Square (LMS) algorithm to give a solution for correcting I/Q imbalances. The design of CORDIC in the vector rotation mode results in high system throughput due to its pipelined architecture where latency is reduced in each of the pipelined stage and finds its appropriate application in real time signal processing. The good convergence of CORDIC in the given LMS algorithm based adaptive filter facilitates in easy calculation of new filter weights.</description><subject>Adaptive filters</subject><subject>Computer architecture</subject><subject>CORDIC</subject><subject>Filtering algorithms</subject><subject>Finite impulse response filter</subject><subject>FIR filter</subject><subject>I/Q imbalance</subject><subject>Least squares approximation</subject><subject>LMS algorithm</subject><subject>Local Oscillator</subject><subject>Low Pass Filter</subject><subject>Receivers</subject><subject>Signal processing algorithms</subject><isbn>9781457702396</isbn><isbn>1457702398</isbn><isbn>1457702401</isbn><isbn>9781457702402</isbn><isbn>9781457702389</isbn><isbn>145770238X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNp9jrFOw0AQRC9CSAngHyDN_kDMrR3budoKoiA0pI-W82Ifcu6cPbvg73HhmtFIo6eZYpR6Rp0iavNyPH_UdZppxLTMiuJgcKUecF9Ulc72Gu9UYqrDwrkp1yqJ8UfPKkuTa9wo-376BOrbIG7srvBFkRtgkSBggwjb0QUPI9vOu9vE4Pzs3dDNOyDfwG2iRmichMF25D33EF3rqYdBguUYnW-f1P039ZGTJR_V9vV4rt92jpkvg7grye9l-Z__3_4BRIRJPQ</recordid><startdate>201104</startdate><enddate>201104</enddate><creator>Mandal, A.</creator><creator>Kaushik, B. K.</creator><creator>Kumar, B.</creator><creator>Tyagi, K. C.</creator><creator>Agarwal, R. P.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201104</creationdate><title>LMS algorithm based error correction technique in in-phase and quadrature channel signal processing</title><author>Mandal, A. ; Kaushik, B. K. ; Kumar, B. ; Tyagi, K. C. ; Agarwal, R. P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_62558913</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Adaptive filters</topic><topic>Computer architecture</topic><topic>CORDIC</topic><topic>Filtering algorithms</topic><topic>Finite impulse response filter</topic><topic>FIR filter</topic><topic>I/Q imbalance</topic><topic>Least squares approximation</topic><topic>LMS algorithm</topic><topic>Local Oscillator</topic><topic>Low Pass Filter</topic><topic>Receivers</topic><topic>Signal processing algorithms</topic><toplevel>online_resources</toplevel><creatorcontrib>Mandal, A.</creatorcontrib><creatorcontrib>Kaushik, B. K.</creatorcontrib><creatorcontrib>Kumar, B.</creatorcontrib><creatorcontrib>Tyagi, K. C.</creatorcontrib><creatorcontrib>Agarwal, R. P.</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>Mandal, A.</au><au>Kaushik, B. K.</au><au>Kumar, B.</au><au>Tyagi, K. C.</au><au>Agarwal, R. P.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>LMS algorithm based error correction technique in in-phase and quadrature channel signal processing</atitle><btitle>2011 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC)</btitle><stitle>ETNCC</stitle><date>2011-04</date><risdate>2011</risdate><spage>226</spage><epage>229</epage><pages>226-229</pages><isbn>9781457702396</isbn><isbn>1457702398</isbn><eisbn>1457702401</eisbn><eisbn>9781457702402</eisbn><eisbn>9781457702389</eisbn><eisbn>145770238X</eisbn><abstract>Every communication receiver that uses in-phase and quadrature channel signal processing technique encounters problems related to matching of gain and phase in both the channels. The gain and phase imbalances occur between Low Pass Filter and Local Oscillator used in both the channels and as a result the performance of the receivers and the quality of the received signals are degraded. The imbalances produced may cause insufficient attenuation in image frequency band leading to interference. The problem needs to be compensated. This paper represents the design and implementation of Coordinate Rotation Digital Computer (CORDIC) algorithm based Adaptive FIR filter using Least Mean Square (LMS) algorithm to give a solution for correcting I/Q imbalances. The design of CORDIC in the vector rotation mode results in high system throughput due to its pipelined architecture where latency is reduced in each of the pipelined stage and finds its appropriate application in real time signal processing. The good convergence of CORDIC in the given LMS algorithm based adaptive filter facilitates in easy calculation of new filter weights.</abstract><pub>IEEE</pub><doi>10.1109/ETNCC.2011.6255891</doi></addata></record> |
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subjects | Adaptive filters Computer architecture CORDIC Filtering algorithms Finite impulse response filter FIR filter I/Q imbalance Least squares approximation LMS algorithm Local Oscillator Low Pass Filter Receivers Signal processing algorithms |
title | LMS algorithm based error correction technique in in-phase and quadrature channel signal processing |
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