An Efficient Approach to Minimum Phase Prefiltering of Short Length Filters
Motivations for performing prefiltering based on root finding are presented, for an interference canceling receiver employing a reduced-state equalizer such as DFSE or RSSE. Since the interference canceling filter (ICF) has a MMSE-DFE structure, that shortens the channel impulse response (CIR), a lo...
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description | Motivations for performing prefiltering based on root finding are presented, for an interference canceling receiver employing a reduced-state equalizer such as DFSE or RSSE. Since the interference canceling filter (ICF) has a MMSE-DFE structure, that shortens the channel impulse response (CIR), a low complexity minimum phase prefilter can be applied before equalization. Root-finding based prefiltering for second order filters are of particular interest, since closed form solutions can be obtained with less computations. For such second order filters, CIR can be classified as minimum, mixed or maximum phase, based on few inequalities which directly use the complex-valued channel coefficients. Proposed inequalities help in retaining maximum accuracy with low complexity, by avoiding some approximation algorithms involved in root identification on DSP. While samples corresponding to minimum and maximum phase channels are processed directly, root-finding is employed only to transform the mixed phase channels to their minimum phase equivalents. |
doi_str_mv | 10.1109/ISSPIT.2008.4775693 |
format | Conference Proceeding |
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Since the interference canceling filter (ICF) has a MMSE-DFE structure, that shortens the channel impulse response (CIR), a low complexity minimum phase prefilter can be applied before equalization. Root-finding based prefiltering for second order filters are of particular interest, since closed form solutions can be obtained with less computations. For such second order filters, CIR can be classified as minimum, mixed or maximum phase, based on few inequalities which directly use the complex-valued channel coefficients. Proposed inequalities help in retaining maximum accuracy with low complexity, by avoiding some approximation algorithms involved in root identification on DSP. While samples corresponding to minimum and maximum phase channels are processed directly, root-finding is employed only to transform the mixed phase channels to their minimum phase equivalents.</description><identifier>ISSN: 2162-7843</identifier><identifier>ISBN: 1424435544</identifier><identifier>ISBN: 9781424435548</identifier><identifier>EISBN: 1424435552</identifier><identifier>EISBN: 9781424435555</identifier><identifier>DOI: 10.1109/ISSPIT.2008.4775693</identifier><identifier>LCCN: 2008911171</identifier><language>eng</language><publisher>IEEE</publisher><subject>Adaptive filters ; Antenna feeds ; Computational complexity ; Digital signal processing ; Equalizers ; Feedback ; Interference cancellation ; Intersymbol interference ; Minimum phase prefiltering ; Performance gain ; Receiving antennas ; Reduced state equalization</subject><ispartof>2008 IEEE International Symposium on Signal Processing and Information Technology, 2008, p.139-143</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4775693$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4775693$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Krishnamurthy, S.R.</creatorcontrib><title>An Efficient Approach to Minimum Phase Prefiltering of Short Length Filters</title><title>2008 IEEE International Symposium on Signal Processing and Information Technology</title><addtitle>ISSPIT</addtitle><description>Motivations for performing prefiltering based on root finding are presented, for an interference canceling receiver employing a reduced-state equalizer such as DFSE or RSSE. 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While samples corresponding to minimum and maximum phase channels are processed directly, root-finding is employed only to transform the mixed phase channels to their minimum phase equivalents.</description><subject>Adaptive filters</subject><subject>Antenna feeds</subject><subject>Computational complexity</subject><subject>Digital signal processing</subject><subject>Equalizers</subject><subject>Feedback</subject><subject>Interference cancellation</subject><subject>Intersymbol interference</subject><subject>Minimum phase prefiltering</subject><subject>Performance gain</subject><subject>Receiving antennas</subject><subject>Reduced state equalization</subject><issn>2162-7843</issn><isbn>1424435544</isbn><isbn>9781424435548</isbn><isbn>1424435552</isbn><isbn>9781424435555</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFkE1uwjAUhF21SAXKCdj4Akn97Gc7XkYICmqqRoKukTE2cQVJlKSL3r5_SJ3NaPRpZjGEzIGlAMw8brbbcrNLOWNZilpLZcQNmQByRCGl5Lf_AfGOjDkonugMxYhMfkoGADTck1nfv7NvoRQc2Zg85zVdhhBd9PVA87btGusqOjT0Jdbx8nGhZWV7T8vOh3gefBfrE20C3VZNN9DC16ehoqtf0j-QUbDn3s-uPiVvq-VusU6K16fNIi-SCFoOiXQBGRiuDWZoleYI4EOm9FEZechAM6aExqNzYETG5BFtcEEK5a2y_ODElMz_dqP3ft928WK7z_31FfEFgMJQ_A</recordid><startdate>200812</startdate><enddate>200812</enddate><creator>Krishnamurthy, S.R.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200812</creationdate><title>An Efficient Approach to Minimum Phase Prefiltering of Short Length Filters</title><author>Krishnamurthy, S.R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-5cf4019279484a672411ef867d695b817006374dcc193805d4afcf536ea6a2bc3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Adaptive filters</topic><topic>Antenna feeds</topic><topic>Computational complexity</topic><topic>Digital signal processing</topic><topic>Equalizers</topic><topic>Feedback</topic><topic>Interference cancellation</topic><topic>Intersymbol interference</topic><topic>Minimum phase prefiltering</topic><topic>Performance gain</topic><topic>Receiving antennas</topic><topic>Reduced state equalization</topic><toplevel>online_resources</toplevel><creatorcontrib>Krishnamurthy, S.R.</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>Krishnamurthy, S.R.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>An Efficient Approach to Minimum Phase Prefiltering of Short Length Filters</atitle><btitle>2008 IEEE International Symposium on Signal Processing and Information Technology</btitle><stitle>ISSPIT</stitle><date>2008-12</date><risdate>2008</risdate><spage>139</spage><epage>143</epage><pages>139-143</pages><issn>2162-7843</issn><isbn>1424435544</isbn><isbn>9781424435548</isbn><eisbn>1424435552</eisbn><eisbn>9781424435555</eisbn><abstract>Motivations for performing prefiltering based on root finding are presented, for an interference canceling receiver employing a reduced-state equalizer such as DFSE or RSSE. Since the interference canceling filter (ICF) has a MMSE-DFE structure, that shortens the channel impulse response (CIR), a low complexity minimum phase prefilter can be applied before equalization. Root-finding based prefiltering for second order filters are of particular interest, since closed form solutions can be obtained with less computations. For such second order filters, CIR can be classified as minimum, mixed or maximum phase, based on few inequalities which directly use the complex-valued channel coefficients. Proposed inequalities help in retaining maximum accuracy with low complexity, by avoiding some approximation algorithms involved in root identification on DSP. While samples corresponding to minimum and maximum phase channels are processed directly, root-finding is employed only to transform the mixed phase channels to their minimum phase equivalents.</abstract><pub>IEEE</pub><doi>10.1109/ISSPIT.2008.4775693</doi><tpages>5</tpages></addata></record> |
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subjects | Adaptive filters Antenna feeds Computational complexity Digital signal processing Equalizers Feedback Interference cancellation Intersymbol interference Minimum phase prefiltering Performance gain Receiving antennas Reduced state equalization |
title | An Efficient Approach to Minimum Phase Prefiltering of Short Length Filters |
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