2-D DOA estimation of quasi-stationary signals based on Khatri-Rao subspace approach
In this paper, a two-dimensional direction-of-arrival (2-D DOA) estimation of quasi-stationary signals using an L-shape array is presented. In many practical scenarios, like speech and audio processing applications the signals are non-stationary but they can be modeled as being stationary within loc...
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| creator | Palanisamy, P. Kishore, C. |
| description | In this paper, a two-dimensional direction-of-arrival (2-D DOA) estimation of quasi-stationary signals using an L-shape array is presented. In many practical scenarios, like speech and audio processing applications the signals are non-stationary but they can be modeled as being stationary within local time frames. A subspace approach based on Khatri-Rao (KR) product, so called KR subspace approach, is developed in this for estimating azimuth and elevation angles using an L-shape array. KR subspace approach can work even when number of sensors is less than number of sources. Computer simulations are carried out to demonstrate the performance of the KR subspace approach for 2-D DOA estimation. |
| doi_str_mv | 10.1109/ICRTIT.2011.5972295 |
| format | Conference Proceeding |
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Computer simulations are carried out to demonstrate the performance of the KR subspace approach for 2-D DOA estimation.</description><subject>Antenna arrays</subject><subject>Arrays</subject><subject>Azimuth</subject><subject>azimuth angle</subject><subject>Covariance matrix</subject><subject>Direction of arrival estimation</subject><subject>elevation angle</subject><subject>Estimation</subject><subject>Khatri-Rao subspace</subject><subject>Kronecker product</subject><subject>Noise</subject><subject>Quasi-stationary signals</subject><subject>second order statistics</subject><subject>unknown noise covariance</subject><isbn>9781457705885</isbn><isbn>1457705885</isbn><isbn>1457705893</isbn><isbn>1457705907</isbn><isbn>9781457705908</isbn><isbn>9781457705892</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1UM1OwzAYC0JIwOgT7JIXSMlP83ecOmATkyZN5Tx9SRMWBGtpusPengqGL5Yty5KN0JzRkjFqH9f1rlk3JaeMldJqzq28QvesklpTaay4RoXV5l8beYuKnD_oBKWs4vwONZws8XK7wCGP6QvG1B1xF_H3CXIiefw1YDjjnN6P8JmxgxxaPIVeDzAOieygw_nkcg8-YOj7oQN_eEA3cQqH4sIz9Pb81NQrstm-rOvFhiQm1UhUiMF7zoQMzuqoDHOSt5aCAtBRWMEpjd5XsrWW2yq0JhinopdSOtYqI2Zo_tebQgj7fpgGDOf95QjxAyeKUis</recordid><startdate>201106</startdate><enddate>201106</enddate><creator>Palanisamy, P.</creator><creator>Kishore, C.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201106</creationdate><title>2-D DOA estimation of quasi-stationary signals based on Khatri-Rao subspace approach</title><author>Palanisamy, P. ; Kishore, C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i156t-6efecc2135eb97f681b52d90a6aa7f393200fcc45d99294ed8e8b6fc555b1d683</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng ; jpn</language><creationdate>2011</creationdate><topic>Antenna arrays</topic><topic>Arrays</topic><topic>Azimuth</topic><topic>azimuth angle</topic><topic>Covariance matrix</topic><topic>Direction of arrival estimation</topic><topic>elevation angle</topic><topic>Estimation</topic><topic>Khatri-Rao subspace</topic><topic>Kronecker product</topic><topic>Noise</topic><topic>Quasi-stationary signals</topic><topic>second order statistics</topic><topic>unknown noise covariance</topic><toplevel>online_resources</toplevel><creatorcontrib>Palanisamy, P.</creatorcontrib><creatorcontrib>Kishore, C.</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>Palanisamy, P.</au><au>Kishore, C.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>2-D DOA estimation of quasi-stationary signals based on Khatri-Rao subspace approach</atitle><btitle>2011 International Conference on Recent Trends in Information Technology (ICRTIT)</btitle><stitle>ICRTIT</stitle><date>2011-06</date><risdate>2011</risdate><spage>798</spage><epage>803</epage><pages>798-803</pages><isbn>9781457705885</isbn><isbn>1457705885</isbn><eisbn>1457705893</eisbn><eisbn>1457705907</eisbn><eisbn>9781457705908</eisbn><eisbn>9781457705892</eisbn><abstract>In this paper, a two-dimensional direction-of-arrival (2-D DOA) estimation of quasi-stationary signals using an L-shape array is presented. In many practical scenarios, like speech and audio processing applications the signals are non-stationary but they can be modeled as being stationary within local time frames. A subspace approach based on Khatri-Rao (KR) product, so called KR subspace approach, is developed in this for estimating azimuth and elevation angles using an L-shape array. KR subspace approach can work even when number of sensors is less than number of sources. Computer simulations are carried out to demonstrate the performance of the KR subspace approach for 2-D DOA estimation.</abstract><pub>IEEE</pub><doi>10.1109/ICRTIT.2011.5972295</doi><tpages>6</tpages></addata></record> |
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| language | eng ; jpn |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Antenna arrays Arrays Azimuth azimuth angle Covariance matrix Direction of arrival estimation elevation angle Estimation Khatri-Rao subspace Kronecker product Noise Quasi-stationary signals second order statistics unknown noise covariance |
| title | 2-D DOA estimation of quasi-stationary signals based on Khatri-Rao subspace approach |
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