Joint space-time clutter and interference covariance estimation for non-chirped radar
We investigate the problem of clutter covariance estimation from multichannel radar data with non-specific waveforms. This differs from other similar algorithms in that they are typically tailored for a specific transmitted waveform, in most cases an LFM chirp. We also consider the possibility that...
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| creator | Rieken, D.W. Bidigare, P. Beauvais, M. |
| description | We investigate the problem of clutter covariance estimation from multichannel radar data with non-specific waveforms. This differs from other similar algorithms in that they are typically tailored for a specific transmitted waveform, in most cases an LFM chirp. We also consider the possibility that there is interference, within the data, caused by a spatially localized source that is independent of the transmitted signal. We frame the problem of estimating the space-time covariance matrices of both the clutter and interference separately as one of maximum-likelihood estimation, and obtain a solution via the expectation-maximization algorithm. Results with simulated data are presented. |
| doi_str_mv | 10.1109/ACSSC.2004.1399593 |
| format | Conference Proceeding |
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This differs from other similar algorithms in that they are typically tailored for a specific transmitted waveform, in most cases an LFM chirp. We also consider the possibility that there is interference, within the data, caused by a spatially localized source that is independent of the transmitted signal. We frame the problem of estimating the space-time covariance matrices of both the clutter and interference separately as one of maximum-likelihood estimation, and obtain a solution via the expectation-maximization algorithm. 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This differs from other similar algorithms in that they are typically tailored for a specific transmitted waveform, in most cases an LFM chirp. We also consider the possibility that there is interference, within the data, caused by a spatially localized source that is independent of the transmitted signal. We frame the problem of estimating the space-time covariance matrices of both the clutter and interference separately as one of maximum-likelihood estimation, and obtain a solution via the expectation-maximization algorithm. Results with simulated data are presented.</description><subject>Bandwidth</subject><subject>Chirp modulation</subject><subject>Covariance matrix</subject><subject>Frequency</subject><subject>Information systems</subject><subject>Radar clutter</subject><subject>Radiofrequency interference</subject><subject>Random processes</subject><subject>Spaceborne radar</subject><subject>Synthetic aperture radar</subject><isbn>0780386221</isbn><isbn>9780780386228</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2004</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNp9jk0KwjAUhAMi-NcL6CYXaE3SVpulFEXcVtcltK8YqUl5iYK3N0LXzmYGvhkYQtacJZwzuT2UVVUmgrEs4amUuUwnZMH2BUuLnRB8RiLnHiwoyzPB5ZzcLlYbT92gGoi9fgJt-pf3gFSZlgYE2AGCaQKwb4Va_SK4UFVeW0M7i9RYEzd3jQO0FFWrcEWmneodRKMvyeZ0vJbnWANAPWAY46ceH6b_6Re08kFv</recordid><startdate>2004</startdate><enddate>2004</enddate><creator>Rieken, D.W.</creator><creator>Bidigare, P.</creator><creator>Beauvais, M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2004</creationdate><title>Joint space-time clutter and interference covariance estimation for non-chirped radar</title><author>Rieken, D.W. ; Bidigare, P. ; Beauvais, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_13995933</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Bandwidth</topic><topic>Chirp modulation</topic><topic>Covariance matrix</topic><topic>Frequency</topic><topic>Information systems</topic><topic>Radar clutter</topic><topic>Radiofrequency interference</topic><topic>Random processes</topic><topic>Spaceborne radar</topic><topic>Synthetic aperture radar</topic><toplevel>online_resources</toplevel><creatorcontrib>Rieken, D.W.</creatorcontrib><creatorcontrib>Bidigare, P.</creatorcontrib><creatorcontrib>Beauvais, M.</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>Rieken, D.W.</au><au>Bidigare, P.</au><au>Beauvais, M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Joint space-time clutter and interference covariance estimation for non-chirped radar</atitle><btitle>Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004</btitle><stitle>ACSSC</stitle><date>2004</date><risdate>2004</risdate><volume>2</volume><spage>2370</spage><epage>2374 Vol.2</epage><pages>2370-2374 Vol.2</pages><isbn>0780386221</isbn><isbn>9780780386228</isbn><abstract>We investigate the problem of clutter covariance estimation from multichannel radar data with non-specific waveforms. This differs from other similar algorithms in that they are typically tailored for a specific transmitted waveform, in most cases an LFM chirp. We also consider the possibility that there is interference, within the data, caused by a spatially localized source that is independent of the transmitted signal. We frame the problem of estimating the space-time covariance matrices of both the clutter and interference separately as one of maximum-likelihood estimation, and obtain a solution via the expectation-maximization algorithm. Results with simulated data are presented.</abstract><pub>IEEE</pub><doi>10.1109/ACSSC.2004.1399593</doi></addata></record> |
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| identifier | ISBN: 0780386221 |
| ispartof | Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004, 2004, Vol.2, p.2370-2374 Vol.2 |
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| language | eng |
| recordid | cdi_ieee_primary_1399593 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Bandwidth Chirp modulation Covariance matrix Frequency Information systems Radar clutter Radiofrequency interference Random processes Spaceborne radar Synthetic aperture radar |
| title | Joint space-time clutter and interference covariance estimation for non-chirped radar |
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