An eigenanalysis interference canceler

Eigenanalysis methods are applied to interference cancellation problems. While with common array processing methods the cancellation is effected by global optimization procedures that include the interferences and the background noise, the proposed technique focuses on the interferences only, result...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on signal processing 1991-01, Vol.39 (1), p.76-84
Main Authors: Haimovich, A.M., Bar-Ness, Y.
Format: Article
Language:English
Subjects:
Array signal processing
Background noise
Direction of arrival estimation
Interference cancellation
Jamming
Noise cancellation
Optimization methods
Sensor arrays
Signal to noise ratio
Steady-state
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c305t-fe6df92be4cc08fd7d86a96cd4262028668390b62df26de3e5a170263c30f3c43
cites cdi_FETCH-LOGICAL-c305t-fe6df92be4cc08fd7d86a96cd4262028668390b62df26de3e5a170263c30f3c43
container_end_page 84
container_issue 1
container_start_page 76
container_title IEEE transactions on signal processing
container_volume 39
creator Haimovich, A.M.
Bar-Ness, Y.
description Eigenanalysis methods are applied to interference cancellation problems. While with common array processing methods the cancellation is effected by global optimization procedures that include the interferences and the background noise, the proposed technique focuses on the interferences only, resulting in superior cancellation performance. Furthermore, the method achieves full effectiveness even for short observation times, when the number of samples used for processing is of the the order of the number of interferences. Adaptive implementation is obtained with a simple, fast converging algorithm.< >
doi_str_mv 10.1109/78.80767
format article
fullrecord <record><control><sourceid>proquest_ieee_</sourceid><recordid>TN_cdi_ieee_primary_80767</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>80767</ieee_id><sourcerecordid>28400096</sourcerecordid><originalsourceid>FETCH-LOGICAL-c305t-fe6df92be4cc08fd7d86a96cd4262028668390b62df26de3e5a170263c30f3c43</originalsourceid><addsrcrecordid>eNqF0EtLAzEQAOAgCtYqePW2p-Jl6-Sxk-RYilWh4EXBW0izE1nZbmuyPfTfu7ri1cvMwHwzDMPYNYc552DvtJkb0KhP2IRbxUtQGk-HGipZVka_nbOLnD8AuFIWJ2y26Apq3qnznW-PuclF0_WUIiXqAhXBD7GldMnOom8zXf3mKXtd3b8sH8v188PTcrEug4SqLyNhHa3YkAoBTKx1bdBbDLUSKEAYRCMtbFDUUWBNkirPNQiUw3iUQckpm41792n3eaDcu22Thwta39HukJ0wCgAs_g8rCVZXYoC3Iwxpl3Oi6Pap2fp0dBzc98ecNu7nYwO9GWlDRH9s7H0BgH1kVQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>25309752</pqid></control><display><type>article</type><title>An eigenanalysis interference canceler</title><source>IEEE Electronic Library (IEL) Journals</source><creator>Haimovich, A.M. ; Bar-Ness, Y.</creator><creatorcontrib>Haimovich, A.M. ; Bar-Ness, Y.</creatorcontrib><description>Eigenanalysis methods are applied to interference cancellation problems. While with common array processing methods the cancellation is effected by global optimization procedures that include the interferences and the background noise, the proposed technique focuses on the interferences only, resulting in superior cancellation performance. Furthermore, the method achieves full effectiveness even for short observation times, when the number of samples used for processing is of the the order of the number of interferences. Adaptive implementation is obtained with a simple, fast converging algorithm.&lt; &gt;</description><identifier>ISSN: 1053-587X</identifier><identifier>EISSN: 1941-0476</identifier><identifier>DOI: 10.1109/78.80767</identifier><identifier>CODEN: ITPRED</identifier><language>eng</language><publisher>IEEE</publisher><subject>Array signal processing ; Background noise ; Direction of arrival estimation ; Interference cancellation ; Jamming ; Noise cancellation ; Optimization methods ; Sensor arrays ; Signal to noise ratio ; Steady-state</subject><ispartof>IEEE transactions on signal processing, 1991-01, Vol.39 (1), p.76-84</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c305t-fe6df92be4cc08fd7d86a96cd4262028668390b62df26de3e5a170263c30f3c43</citedby><cites>FETCH-LOGICAL-c305t-fe6df92be4cc08fd7d86a96cd4262028668390b62df26de3e5a170263c30f3c43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/80767$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,54796</link.rule.ids></links><search><creatorcontrib>Haimovich, A.M.</creatorcontrib><creatorcontrib>Bar-Ness, Y.</creatorcontrib><title>An eigenanalysis interference canceler</title><title>IEEE transactions on signal processing</title><addtitle>TSP</addtitle><description>Eigenanalysis methods are applied to interference cancellation problems. While with common array processing methods the cancellation is effected by global optimization procedures that include the interferences and the background noise, the proposed technique focuses on the interferences only, resulting in superior cancellation performance. Furthermore, the method achieves full effectiveness even for short observation times, when the number of samples used for processing is of the the order of the number of interferences. Adaptive implementation is obtained with a simple, fast converging algorithm.&lt; &gt;</description><subject>Array signal processing</subject><subject>Background noise</subject><subject>Direction of arrival estimation</subject><subject>Interference cancellation</subject><subject>Jamming</subject><subject>Noise cancellation</subject><subject>Optimization methods</subject><subject>Sensor arrays</subject><subject>Signal to noise ratio</subject><subject>Steady-state</subject><issn>1053-587X</issn><issn>1941-0476</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1991</creationdate><recordtype>article</recordtype><recordid>eNqF0EtLAzEQAOAgCtYqePW2p-Jl6-Sxk-RYilWh4EXBW0izE1nZbmuyPfTfu7ri1cvMwHwzDMPYNYc552DvtJkb0KhP2IRbxUtQGk-HGipZVka_nbOLnD8AuFIWJ2y26Apq3qnznW-PuclF0_WUIiXqAhXBD7GldMnOom8zXf3mKXtd3b8sH8v188PTcrEug4SqLyNhHa3YkAoBTKx1bdBbDLUSKEAYRCMtbFDUUWBNkirPNQiUw3iUQckpm41792n3eaDcu22Thwta39HukJ0wCgAs_g8rCVZXYoC3Iwxpl3Oi6Pap2fp0dBzc98ecNu7nYwO9GWlDRH9s7H0BgH1kVQ</recordid><startdate>199101</startdate><enddate>199101</enddate><creator>Haimovich, A.M.</creator><creator>Bar-Ness, Y.</creator><general>IEEE</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope><scope>7SC</scope><scope>JQ2</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>199101</creationdate><title>An eigenanalysis interference canceler</title><author>Haimovich, A.M. ; Bar-Ness, Y.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c305t-fe6df92be4cc08fd7d86a96cd4262028668390b62df26de3e5a170263c30f3c43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1991</creationdate><topic>Array signal processing</topic><topic>Background noise</topic><topic>Direction of arrival estimation</topic><topic>Interference cancellation</topic><topic>Jamming</topic><topic>Noise cancellation</topic><topic>Optimization methods</topic><topic>Sensor arrays</topic><topic>Signal to noise ratio</topic><topic>Steady-state</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Haimovich, A.M.</creatorcontrib><creatorcontrib>Bar-Ness, Y.</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE transactions on signal processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Haimovich, A.M.</au><au>Bar-Ness, Y.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An eigenanalysis interference canceler</atitle><jtitle>IEEE transactions on signal processing</jtitle><stitle>TSP</stitle><date>1991-01</date><risdate>1991</risdate><volume>39</volume><issue>1</issue><spage>76</spage><epage>84</epage><pages>76-84</pages><issn>1053-587X</issn><eissn>1941-0476</eissn><coden>ITPRED</coden><abstract>Eigenanalysis methods are applied to interference cancellation problems. While with common array processing methods the cancellation is effected by global optimization procedures that include the interferences and the background noise, the proposed technique focuses on the interferences only, resulting in superior cancellation performance. Furthermore, the method achieves full effectiveness even for short observation times, when the number of samples used for processing is of the the order of the number of interferences. Adaptive implementation is obtained with a simple, fast converging algorithm.&lt; &gt;</abstract><pub>IEEE</pub><doi>10.1109/78.80767</doi><tpages>9</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1053-587X
ispartof IEEE transactions on signal processing, 1991-01, Vol.39 (1), p.76-84
issn 1053-587X
1941-0476
language eng
recordid cdi_ieee_primary_80767
source IEEE Electronic Library (IEL) Journals
subjects Array signal processing
Background noise
Direction of arrival estimation
Interference cancellation
Jamming
Noise cancellation
Optimization methods
Sensor arrays
Signal to noise ratio
Steady-state
title An eigenanalysis interference canceler
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T01%3A28%3A25IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_ieee_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=An%20eigenanalysis%20interference%20canceler&rft.jtitle=IEEE%20transactions%20on%20signal%20processing&rft.au=Haimovich,%20A.M.&rft.date=1991-01&rft.volume=39&rft.issue=1&rft.spage=76&rft.epage=84&rft.pages=76-84&rft.issn=1053-587X&rft.eissn=1941-0476&rft.coden=ITPRED&rft_id=info:doi/10.1109/78.80767&rft_dat=%3Cproquest_ieee_%3E28400096%3C/proquest_ieee_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c305t-fe6df92be4cc08fd7d86a96cd4262028668390b62df26de3e5a170263c30f3c43%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=25309752&rft_id=info:pmid/&rft_ieee_id=80767&rfr_iscdi=true