Extending ESPRIT algorithm by using virtual array and Moore-Penrose general inverse techniques
High-resolution signal parameter estimation is frequently studied in many signal processing applications. In this paper, we present a new high-resolution direction and frequency simultaneous estimation algorithm, which extends the ESPRIT algorithm by using the Moore-Penrose general inverse and virtu...
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| creator | Shu Wang Xilang Zhou |
| description | High-resolution signal parameter estimation is frequently studied in many signal processing applications. In this paper, we present a new high-resolution direction and frequency simultaneous estimation algorithm, which extends the ESPRIT algorithm by using the Moore-Penrose general inverse and virtual array techniques. By using this new algorithm, the parameter pair (/spl theta//sub i/,f/sub i/) of each source can be easily obtained and automatically combined from the eigenvectors and eigenvalues. The proposed approach is simple and direct, and does not require a search procedure. It can even work well with only two sensors, no matter how many sources it is detecting. Computer simulation results are also presented to demonstrate the performance of the proposed approach. |
| doi_str_mv | 10.1109/SECON.1999.766147 |
| format | Conference Proceeding |
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In this paper, we present a new high-resolution direction and frequency simultaneous estimation algorithm, which extends the ESPRIT algorithm by using the Moore-Penrose general inverse and virtual array techniques. By using this new algorithm, the parameter pair (/spl theta//sub i/,f/sub i/) of each source can be easily obtained and automatically combined from the eigenvectors and eigenvalues. The proposed approach is simple and direct, and does not require a search procedure. It can even work well with only two sensors, no matter how many sources it is detecting. Computer simulation results are also presented to demonstrate the performance of the proposed approach.</description><identifier>ISBN: 0780352378</identifier><identifier>ISBN: 9780780352377</identifier><identifier>DOI: 10.1109/SECON.1999.766147</identifier><language>eng</language><publisher>IEEE</publisher><subject>Additive noise ; Array signal processing ; Computer simulation ; Data models ; Direction of arrival estimation ; Frequency estimation ; Parameter estimation ; Sensor arrays ; Signal processing algorithms ; Signal resolution</subject><ispartof>Proceedings IEEE Southeastcon'99. Technology on the Brink of 2000 (Cat. 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No.99CH36300)</title><addtitle>SECON</addtitle><description>High-resolution signal parameter estimation is frequently studied in many signal processing applications. In this paper, we present a new high-resolution direction and frequency simultaneous estimation algorithm, which extends the ESPRIT algorithm by using the Moore-Penrose general inverse and virtual array techniques. By using this new algorithm, the parameter pair (/spl theta//sub i/,f/sub i/) of each source can be easily obtained and automatically combined from the eigenvectors and eigenvalues. The proposed approach is simple and direct, and does not require a search procedure. It can even work well with only two sensors, no matter how many sources it is detecting. Computer simulation results are also presented to demonstrate the performance of the proposed approach.</description><subject>Additive noise</subject><subject>Array signal processing</subject><subject>Computer simulation</subject><subject>Data models</subject><subject>Direction of arrival estimation</subject><subject>Frequency estimation</subject><subject>Parameter estimation</subject><subject>Sensor arrays</subject><subject>Signal processing algorithms</subject><subject>Signal resolution</subject><isbn>0780352378</isbn><isbn>9780780352377</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1999</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkEtOwzAYhC0hJKD0ALDyBRLsxI94iaIAlQqtaNlSOcnv1Ch1wE6q5vYEldmMRp9mFoPQHSUxpUQ9bIp89RZTpVQshaBMXqAbIjOS8iSV2RWah_BFJnEiScau0Wdx6sHV1jW42KzfF1us26bztt8fcDniIfyRo_X9oFusvdcj1q7Gr13nIVqD810A3IADP3HrjuCn3EO1d_ZngHCLLo1uA8z_fYY-nopt_hItV8-L_HEZWSqTPmKGZkJVqtSSG6MlqaASpq40y7RQimeMEpBlwsGUimmuUqVqSsTUELWpSTpD9-ddCwC7b28P2o-78wPpL350U3g</recordid><startdate>1999</startdate><enddate>1999</enddate><creator>Shu Wang</creator><creator>Xilang Zhou</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>1999</creationdate><title>Extending ESPRIT algorithm by using virtual array and Moore-Penrose general inverse techniques</title><author>Shu Wang ; Xilang Zhou</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i172t-4f1869c9ba75ffa70cec6fdca48a69958410e7b25efb94a59399d106c9b6dfd03</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Additive noise</topic><topic>Array signal processing</topic><topic>Computer simulation</topic><topic>Data models</topic><topic>Direction of arrival estimation</topic><topic>Frequency estimation</topic><topic>Parameter estimation</topic><topic>Sensor arrays</topic><topic>Signal processing algorithms</topic><topic>Signal resolution</topic><toplevel>online_resources</toplevel><creatorcontrib>Shu Wang</creatorcontrib><creatorcontrib>Xilang Zhou</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 Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Shu Wang</au><au>Xilang Zhou</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Extending ESPRIT algorithm by using virtual array and Moore-Penrose general inverse techniques</atitle><btitle>Proceedings IEEE Southeastcon'99. Technology on the Brink of 2000 (Cat. No.99CH36300)</btitle><stitle>SECON</stitle><date>1999</date><risdate>1999</risdate><spage>315</spage><epage>318</epage><pages>315-318</pages><isbn>0780352378</isbn><isbn>9780780352377</isbn><abstract>High-resolution signal parameter estimation is frequently studied in many signal processing applications. In this paper, we present a new high-resolution direction and frequency simultaneous estimation algorithm, which extends the ESPRIT algorithm by using the Moore-Penrose general inverse and virtual array techniques. By using this new algorithm, the parameter pair (/spl theta//sub i/,f/sub i/) of each source can be easily obtained and automatically combined from the eigenvectors and eigenvalues. The proposed approach is simple and direct, and does not require a search procedure. It can even work well with only two sensors, no matter how many sources it is detecting. Computer simulation results are also presented to demonstrate the performance of the proposed approach.</abstract><pub>IEEE</pub><doi>10.1109/SECON.1999.766147</doi><tpages>4</tpages></addata></record> |
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| ispartof | Proceedings IEEE Southeastcon'99. Technology on the Brink of 2000 (Cat. No.99CH36300), 1999, p.315-318 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Additive noise Array signal processing Computer simulation Data models Direction of arrival estimation Frequency estimation Parameter estimation Sensor arrays Signal processing algorithms Signal resolution |
| title | Extending ESPRIT algorithm by using virtual array and Moore-Penrose general inverse techniques |
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