Subspace approximation for adaptive multichannel radar filtering
In this paper we consider a subspace approximation tailored to adaptive airborne radar. Motivation for this research includes the need for reduced computational burden and approaches for practical implementation. Measured radar data only approximately satisfies the statistical assumptions intrinsic...
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| creator | Bojanczyk, A.W. Melvin, W.L. Holder, E.J. |
| description | In this paper we consider a subspace approximation tailored to adaptive airborne radar. Motivation for this research includes the need for reduced computational burden and approaches for practical implementation. Measured radar data only approximately satisfies the statistical assumptions intrinsic to the adaptive processor. Hence, approximate numerical methods for adaptive weight computation may successfully be used in place of exact methods. We propose a numerical procedure based on partial bi-diagonalization of the interference covariance matrix, coupled with a preconditioned conjugate gradient iterative method, to approximate the dominant subspace and construct the adaptive weights. Through example, we show the potential of this method for adaptive radar. |
| doi_str_mv | 10.1109/ACSSC.1998.751585 |
| format | Conference Proceeding |
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No.98CH36284)</title><addtitle>ACSSC</addtitle><description>In this paper we consider a subspace approximation tailored to adaptive airborne radar. Motivation for this research includes the need for reduced computational burden and approaches for practical implementation. Measured radar data only approximately satisfies the statistical assumptions intrinsic to the adaptive processor. Hence, approximate numerical methods for adaptive weight computation may successfully be used in place of exact methods. We propose a numerical procedure based on partial bi-diagonalization of the interference covariance matrix, coupled with a preconditioned conjugate gradient iterative method, to approximate the dominant subspace and construct the adaptive weights. Through example, we show the potential of this method for adaptive radar.</description><subject>Adaptive filters</subject><subject>Additive noise</subject><subject>Airborne radar</subject><subject>Covariance matrix</subject><subject>Filtering</subject><subject>Interference</subject><subject>Parameter estimation</subject><subject>Radar cross section</subject><subject>Radar detection</subject><subject>Radar measurements</subject><issn>1058-6393</issn><issn>2576-2303</issn><isbn>0780351487</isbn><isbn>9780780351486</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1998</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj9tKw0AYhBcPYK19AL3aF0j897x7ZwlWhYIX0evyJ93VlTQJm1T07V2oczMwHwwzhNwyKBkDd7-u6roqmXO2NIopq87IgiujCy5AnJNrMBaEYtKaC7JgoGyhhRNXZDVNX5AlVYZsQR7qYzON2HqK45iGn3jAOQ49DUOiuMdxjt-eHo7dHNtP7Hvf0ZTjREPsZp9i_3FDLgN2k1_9-5K8bx7fqudi-_r0Uq23RWSGz0WLvFUeNA8ucLQWpWwteFRcB-cggBEZYd7kTWg4B61QadnsLROWSxBLcnfqjd773Zjy0PS7O30XfzX2S30</recordid><startdate>1998</startdate><enddate>1998</enddate><creator>Bojanczyk, A.W.</creator><creator>Melvin, W.L.</creator><creator>Holder, E.J.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>1998</creationdate><title>Subspace approximation for adaptive multichannel radar filtering</title><author>Bojanczyk, A.W. ; Melvin, W.L. ; Holder, E.J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i172t-ca2c5e062f9f2a88a44c80ea526f990f0732f9a141e7fb22065a564bd81382403</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Adaptive filters</topic><topic>Additive noise</topic><topic>Airborne radar</topic><topic>Covariance matrix</topic><topic>Filtering</topic><topic>Interference</topic><topic>Parameter estimation</topic><topic>Radar cross section</topic><topic>Radar detection</topic><topic>Radar measurements</topic><toplevel>online_resources</toplevel><creatorcontrib>Bojanczyk, A.W.</creatorcontrib><creatorcontrib>Melvin, W.L.</creatorcontrib><creatorcontrib>Holder, E.J.</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>Bojanczyk, A.W.</au><au>Melvin, W.L.</au><au>Holder, E.J.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Subspace approximation for adaptive multichannel radar filtering</atitle><btitle>Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284)</btitle><stitle>ACSSC</stitle><date>1998</date><risdate>1998</risdate><volume>2</volume><spage>1542</spage><epage>1546 vol.2</epage><pages>1542-1546 vol.2</pages><issn>1058-6393</issn><eissn>2576-2303</eissn><isbn>0780351487</isbn><isbn>9780780351486</isbn><abstract>In this paper we consider a subspace approximation tailored to adaptive airborne radar. Motivation for this research includes the need for reduced computational burden and approaches for practical implementation. Measured radar data only approximately satisfies the statistical assumptions intrinsic to the adaptive processor. Hence, approximate numerical methods for adaptive weight computation may successfully be used in place of exact methods. We propose a numerical procedure based on partial bi-diagonalization of the interference covariance matrix, coupled with a preconditioned conjugate gradient iterative method, to approximate the dominant subspace and construct the adaptive weights. Through example, we show the potential of this method for adaptive radar.</abstract><pub>IEEE</pub><doi>10.1109/ACSSC.1998.751585</doi></addata></record> |
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| identifier | ISSN: 1058-6393 |
| ispartof | Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284), 1998, Vol.2, p.1542-1546 vol.2 |
| issn | 1058-6393 2576-2303 |
| language | eng |
| recordid | cdi_ieee_primary_751585 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Adaptive filters Additive noise Airborne radar Covariance matrix Filtering Interference Parameter estimation Radar cross section Radar detection Radar measurements |
| title | Subspace approximation for adaptive multichannel radar filtering |
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