Soft-output post-processing detection for PRML channels in the presence of data-dependent media noise

A soft-output data-detection scheme optimized for data-dependent media-noise recording channels is proposed that uses signal-dependent correlation-sensitive (SDCS) metric estimation for post-processing decoding. This media-noise soft-output (MNS) decoding scheme achieves sub-optimal maximum-likeliho...

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Hauptverfasser:	Sawaguchi, H., Izumita, M., Mita, S.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Additive white noise AWGN Detectors Error correction Gaussian noise Magnetic noise Magnetic recording Maximum likelihood decoding Statistics Viterbi algorithm
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creator	Sawaguchi, H. Izumita, M. Mita, S.
description	A soft-output data-detection scheme optimized for data-dependent media-noise recording channels is proposed that uses signal-dependent correlation-sensitive (SDCS) metric estimation for post-processing decoding. This media-noise soft-output (MNS) decoding scheme achieves sub-optimal maximum-likelihood (ML) sequence detection in a non-stationary media-noise channel, while still using traditional Viterbi detection. Because it drastically reduces SDCS metric computation by focusing on only specified dominant error-events in the ML detector, it is less complex than other sub-optimal detection schemes. Moreover, its one-shot post-processing scheme enables the use of a simple lookup-table architecture suitable for high-speed circuit implementation. Simulation shows that the MNS decoding scheme in conjunction with a conventional ME/sup 2/PRML system provides an excellent tradeoff between data-detection performance and computation complexity for a media-noise-dominant high-density recording channel.
doi_str_mv	10.1109/GLOCOM.2003.1258964
format	Conference Proceeding
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Simulation shows that the MNS decoding scheme in conjunction with a conventional ME/sup 2/PRML system provides an excellent tradeoff between data-detection performance and computation complexity for a media-noise-dominant high-density recording channel.</description><subject>Additive white noise</subject><subject>AWGN</subject><subject>Detectors</subject><subject>Error correction</subject><subject>Gaussian noise</subject><subject>Magnetic noise</subject><subject>Magnetic recording</subject><subject>Maximum likelihood decoding</subject><subject>Statistics</subject><subject>Viterbi algorithm</subject><isbn>9780780379749</isbn><isbn>0780379748</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2003</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkEtqwzAYhAWl0JL6BNnoAnL1si0tS2jTgoNDH-sgS78alUQylrLo7WtohoH5VsMwCK0ZrRmj-nHbD5thV3NKRc14o3Qrb1ClO0UXi053Ut-hKucfukg2THN-j-Aj-ULSpUyXgqeUC5nmZCHnEL-xgwK2hBSxTzPev-96bI8mRjhlHCIuR8DTDBmiBZw8dqYY4mCC6CAWfAYXDI4pZHhAt96cMlTXXKGvl-fPzSvph-3b5qkngdGmECY7LrkdeWuFXvaPAEobBk4oIV0jlVhQN44q3zrLvYBWguV0lJ1xY-PECq3_ewMAHKY5nM38e7ieIf4ArcdW0g</recordid><startdate>2003</startdate><enddate>2003</enddate><creator>Sawaguchi, H.</creator><creator>Izumita, M.</creator><creator>Mita, S.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2003</creationdate><title>Soft-output post-processing detection for PRML channels in the presence of data-dependent media noise</title><author>Sawaguchi, H. ; Izumita, M. ; Mita, S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i105t-147242cb26c39896bee89a1ed3834d5483ed395d08f6dc2f3e64ec20b47adb5d3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Additive white noise</topic><topic>AWGN</topic><topic>Detectors</topic><topic>Error correction</topic><topic>Gaussian noise</topic><topic>Magnetic noise</topic><topic>Magnetic recording</topic><topic>Maximum likelihood decoding</topic><topic>Statistics</topic><topic>Viterbi algorithm</topic><toplevel>online_resources</toplevel><creatorcontrib>Sawaguchi, H.</creatorcontrib><creatorcontrib>Izumita, M.</creatorcontrib><creatorcontrib>Mita, S.</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 Xplore</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Sawaguchi, H.</au><au>Izumita, M.</au><au>Mita, S.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Soft-output post-processing detection for PRML channels in the presence of data-dependent media noise</atitle><btitle>GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489)</btitle><stitle>GLOCOM</stitle><date>2003</date><risdate>2003</risdate><volume>7</volume><spage>3913</spage><epage>3920 vol.7</epage><pages>3913-3920 vol.7</pages><isbn>9780780379749</isbn><isbn>0780379748</isbn><abstract>A soft-output data-detection scheme optimized for data-dependent media-noise recording channels is proposed that uses signal-dependent correlation-sensitive (SDCS) metric estimation for post-processing decoding. This media-noise soft-output (MNS) decoding scheme achieves sub-optimal maximum-likelihood (ML) sequence detection in a non-stationary media-noise channel, while still using traditional Viterbi detection. Because it drastically reduces SDCS metric computation by focusing on only specified dominant error-events in the ML detector, it is less complex than other sub-optimal detection schemes. Moreover, its one-shot post-processing scheme enables the use of a simple lookup-table architecture suitable for high-speed circuit implementation. Simulation shows that the MNS decoding scheme in conjunction with a conventional ME/sup 2/PRML system provides an excellent tradeoff between data-detection performance and computation complexity for a media-noise-dominant high-density recording channel.</abstract><pub>IEEE</pub><doi>10.1109/GLOCOM.2003.1258964</doi></addata></record>
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subjects	Additive white noise AWGN Detectors Error correction Gaussian noise Magnetic noise Magnetic recording Maximum likelihood decoding Statistics Viterbi algorithm
title	Soft-output post-processing detection for PRML channels in the presence of data-dependent media noise
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