Sigma-Delta Modulation Based Adaptive Channel Equalizer Based on Wiener–Hopf Equations
Recenlty, short word length DSP systems are proposed and reported that they outperform compared to their counterpart multi-bit systems in the sense of area-performance-power analysis. In this continuation, this paper presents the application of sigma-delta modulation (SDM) in the design of adaptive...
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Veröffentlicht in: | Wireless personal communications 2021, Vol.116 (2), p.1123-1135 |
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creator | Pathan, Aneela Memon, Tayab D. |
description | Recenlty, short word length DSP systems are proposed and reported that they outperform compared to their counterpart multi-bit systems in the sense of area-performance-power analysis. In this continuation, this paper presents the application of sigma-delta modulation (SDM) in the design of adaptive channel equalizer using the Wiener filter for wireless and underwater acoustic communication (UWA). To validate the application, various aspects of design are taken into consideration and comparison is carried out with contemporary (i.e., multi-bit) approach. Besides, FPGA based implementation of SDM based design and conventional approach is also carried out to endorse the proposed algorithm to be used in hardware based implementation. The results given in terms of area -perfromance analysis show that proposed algorithm works as desired and it opens the way of using the sigma-delta modulation in adaptive signal processing domain for UWA that has remained a quite challenging task ever before. |
doi_str_mv | 10.1007/s11277-019-06951-5 |
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The results given in terms of area -perfromance analysis show that proposed algorithm works as desired and it opens the way of using the sigma-delta modulation in adaptive signal processing domain for UWA that has remained a quite challenging task ever before.</description><subject>Adaptive filters</subject><subject>Algorithms</subject><subject>Communications Engineering</subject><subject>Computer Communication Networks</subject><subject>Delta modulation</subject><subject>Engineering</subject><subject>Networks</subject><subject>Signal processing</subject><subject>Signal,Image and Speech Processing</subject><subject>Underwater acoustics</subject><subject>Underwater communication</subject><subject>Wiener filtering</subject><subject>Wiener Hopf equations</subject><subject>Wireless communications</subject><issn>0929-6212</issn><issn>1572-834X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kL1OwzAURi0EEqHwAkyRmA22E_-NpRSKVMQAiG6WYzslVZqkdoIEE-_AG_IkpE0lNqa7nPNd6QBwjtElRohfBYwJ5xBhCRGTFEN6ACJMOYEiSReHIEKSSMgIJsfgJIQVQr0mSQQWT8VyreGNK1sdP9S2K3Vb1FV8rYOz8djqpi3eXTx501Xlyni66XRZfDq_B3rytXCV8z9f37O6yXfAdiCcgqNcl8Gd7e8IvNxOnyczOH-8u5-M59AkWLbQOkqp5jhhlOQp4dZpQ5gRMs-RMMgakbGMSsGITYSzJstsljLDhbTSkhwnI3Ax7Da-3nQutGpVd77qXyqScokYETTpKTJQxtcheJerxhdr7T8URmpbUA0FVV9Q7Qoq2kvJIIUerpbO_03_Y_0CLwh1LA</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Pathan, Aneela</creator><creator>Memon, Tayab D.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0003-2629-3916</orcidid></search><sort><creationdate>2021</creationdate><title>Sigma-Delta Modulation Based Adaptive Channel Equalizer Based on Wiener–Hopf Equations</title><author>Pathan, Aneela ; Memon, Tayab D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-de555a713652f427deac26c89ff08c0dc8b6b59862d38edcbbdb46c789d9d2f13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adaptive filters</topic><topic>Algorithms</topic><topic>Communications Engineering</topic><topic>Computer Communication Networks</topic><topic>Delta modulation</topic><topic>Engineering</topic><topic>Networks</topic><topic>Signal processing</topic><topic>Signal,Image and Speech Processing</topic><topic>Underwater acoustics</topic><topic>Underwater communication</topic><topic>Wiener filtering</topic><topic>Wiener Hopf equations</topic><topic>Wireless communications</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pathan, Aneela</creatorcontrib><creatorcontrib>Memon, Tayab D.</creatorcontrib><collection>CrossRef</collection><jtitle>Wireless personal communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pathan, Aneela</au><au>Memon, Tayab D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sigma-Delta Modulation Based Adaptive Channel Equalizer Based on Wiener–Hopf Equations</atitle><jtitle>Wireless personal communications</jtitle><stitle>Wireless Pers Commun</stitle><date>2021</date><risdate>2021</risdate><volume>116</volume><issue>2</issue><spage>1123</spage><epage>1135</epage><pages>1123-1135</pages><issn>0929-6212</issn><eissn>1572-834X</eissn><abstract>Recenlty, short word length DSP systems are proposed and reported that they outperform compared to their counterpart multi-bit systems in the sense of area-performance-power analysis. In this continuation, this paper presents the application of sigma-delta modulation (SDM) in the design of adaptive channel equalizer using the Wiener filter for wireless and underwater acoustic communication (UWA). To validate the application, various aspects of design are taken into consideration and comparison is carried out with contemporary (i.e., multi-bit) approach. Besides, FPGA based implementation of SDM based design and conventional approach is also carried out to endorse the proposed algorithm to be used in hardware based implementation. 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subjects | Adaptive filters Algorithms Communications Engineering Computer Communication Networks Delta modulation Engineering Networks Signal processing Signal,Image and Speech Processing Underwater acoustics Underwater communication Wiener filtering Wiener Hopf equations Wireless communications |
title | Sigma-Delta Modulation Based Adaptive Channel Equalizer Based on Wiener–Hopf Equations |
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