Parallel and adaptive high-resolution direction finding
Recently the new class of so-called subspace methods for high-resolution direction finding has received a great deal of attention in the literature. When a real-time implementation is aimed at, the computational complexity involved is known to represent a serious impediment. In this paper, an ESPRIT...
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| Veröffentlicht in: | IEEE transactions on signal processing 1994-09, Vol.42 (9), p.2439-2448 |
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| container_title | IEEE transactions on signal processing |
| container_volume | 42 |
| creator | Moonen, M. Vanpoucke, F.J. Deprettere, E.F. |
| description | Recently the new class of so-called subspace methods for high-resolution direction finding has received a great deal of attention in the literature. When a real-time implementation is aimed at, the computational complexity involved is known to represent a serious impediment. In this paper, an ESPRIT-type algorithm is developed, which is fully adaptive and therefore particularly suited for real-time processing. Furthermore, a systolic array is described, which allows the processing of incoming data at a rate which is independent of the problem size. The algorithm is based on orthogonal transformations only. Estimates are computed for the angles of arrival, as well as for the source signals. Our aim is not so much to develop yet another ESPRIT-type algorithm but rather to show that it is indeed possible to develop an algorithm that is fully parallel and adaptive. This is something that has not been done before.< > |
| doi_str_mv | 10.1109/78.317865 |
| format | Article |
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When a real-time implementation is aimed at, the computational complexity involved is known to represent a serious impediment. In this paper, an ESPRIT-type algorithm is developed, which is fully adaptive and therefore particularly suited for real-time processing. Furthermore, a systolic array is described, which allows the processing of incoming data at a rate which is independent of the problem size. The algorithm is based on orthogonal transformations only. Estimates are computed for the angles of arrival, as well as for the source signals. Our aim is not so much to develop yet another ESPRIT-type algorithm but rather to show that it is indeed possible to develop an algorithm that is fully parallel and adaptive. 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When a real-time implementation is aimed at, the computational complexity involved is known to represent a serious impediment. In this paper, an ESPRIT-type algorithm is developed, which is fully adaptive and therefore particularly suited for real-time processing. Furthermore, a systolic array is described, which allows the processing of incoming data at a rate which is independent of the problem size. The algorithm is based on orthogonal transformations only. Estimates are computed for the angles of arrival, as well as for the source signals. Our aim is not so much to develop yet another ESPRIT-type algorithm but rather to show that it is indeed possible to develop an algorithm that is fully parallel and adaptive. This is something that has not been done before.< ></description><subject>Additive noise</subject><subject>Applied sciences</subject><subject>Computational complexity</subject><subject>Direction of arrival estimation</subject><subject>Displacement measurement</subject><subject>Equations</subject><subject>Exact sciences and technology</subject><subject>Impedance</subject><subject>Phased arrays</subject><subject>Radiolocalization and radionavigation</subject><subject>Sensor arrays</subject><subject>Sensor phenomena and characterization</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><issn>1053-587X</issn><issn>1941-0476</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1994</creationdate><recordtype>article</recordtype><recordid>eNqFkM1Lw0AUxBdRsFYPXj3lIIKH1LffyVGKX1DQg4K38Lq7aVe2SdxNBf97oyl69PQG3m-GYQg5pTCjFMorXcw41YWSe2RCS0FzEFrtDxokz2WhXw_JUUpvAFSIUk2IfsKIIbiQYWMztNj1_sNla79a59GlNmx73zaZ9dGZH1X7xvpmdUwOagzJnezulLzc3jzP7_PF493D_HqRG851n6N1wqJiUDOhrQTUgmHtOLOyZAhqqFjqpaGSM8qlNaCQMkOBG4NyWZR8Si7G3C6271uX-mrjk3EhYOPabapYIQdnIf8HlaRKchjAyxE0sU0purrqot9g_KwoVN8bVrqoxg0H9nwXislgqCM2xqdfA-cATKoBOxsx75z7-44ZX_9Qd3s</recordid><startdate>19940901</startdate><enddate>19940901</enddate><creator>Moonen, M.</creator><creator>Vanpoucke, F.J.</creator><creator>Deprettere, E.F.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>IQODW</scope><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>19940901</creationdate><title>Parallel and adaptive high-resolution direction finding</title><author>Moonen, M. ; Vanpoucke, F.J. ; Deprettere, E.F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c337t-ade4da620f247d50a742afe32d592a0619497bc1532135dc06a12c103cca5b893</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1994</creationdate><topic>Additive noise</topic><topic>Applied sciences</topic><topic>Computational complexity</topic><topic>Direction of arrival estimation</topic><topic>Displacement measurement</topic><topic>Equations</topic><topic>Exact sciences and technology</topic><topic>Impedance</topic><topic>Phased arrays</topic><topic>Radiolocalization and radionavigation</topic><topic>Sensor arrays</topic><topic>Sensor phenomena and characterization</topic><topic>Telecommunications</topic><topic>Telecommunications and information theory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Moonen, M.</creatorcontrib><creatorcontrib>Vanpoucke, F.J.</creatorcontrib><creatorcontrib>Deprettere, E.F.</creatorcontrib><collection>Pascal-Francis</collection><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_linktorsrc</fulltext></delivery><addata><au>Moonen, M.</au><au>Vanpoucke, F.J.</au><au>Deprettere, E.F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Parallel and adaptive high-resolution direction finding</atitle><jtitle>IEEE transactions on signal processing</jtitle><stitle>TSP</stitle><date>1994-09-01</date><risdate>1994</risdate><volume>42</volume><issue>9</issue><spage>2439</spage><epage>2448</epage><pages>2439-2448</pages><issn>1053-587X</issn><eissn>1941-0476</eissn><coden>ITPRED</coden><abstract>Recently the new class of so-called subspace methods for high-resolution direction finding has received a great deal of attention in the literature. When a real-time implementation is aimed at, the computational complexity involved is known to represent a serious impediment. In this paper, an ESPRIT-type algorithm is developed, which is fully adaptive and therefore particularly suited for real-time processing. Furthermore, a systolic array is described, which allows the processing of incoming data at a rate which is independent of the problem size. The algorithm is based on orthogonal transformations only. Estimates are computed for the angles of arrival, as well as for the source signals. Our aim is not so much to develop yet another ESPRIT-type algorithm but rather to show that it is indeed possible to develop an algorithm that is fully parallel and adaptive. This is something that has not been done before.< ></abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/78.317865</doi><tpages>10</tpages></addata></record> |
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| ispartof | IEEE transactions on signal processing, 1994-09, Vol.42 (9), p.2439-2448 |
| issn | 1053-587X 1941-0476 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Additive noise Applied sciences Computational complexity Direction of arrival estimation Displacement measurement Equations Exact sciences and technology Impedance Phased arrays Radiolocalization and radionavigation Sensor arrays Sensor phenomena and characterization Telecommunications Telecommunications and information theory |
| title | Parallel and adaptive high-resolution direction finding |
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