dc.contributor.author | Golowich, Steven E. | |
dc.date.accessioned | 2010-10-14T19:40:49Z | |
dc.date.available | 2010-10-14T19:40:49Z | |
dc.date.issued | 2009-10 | |
dc.date.submitted | 2009-08 | |
dc.identifier.isbn | 978-1-4244-4560-8 | |
dc.identifier.other | INSPEC Accession Number: 10930503 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/59340 | |
dc.description.abstract | The combination of synthetic aperture radar (SAR) and space-time adaptive processing (STAP) for moving target indication (MTI) radar applications allows the use of long, potentially sparse arrays, wide bandwidths, and long coherent processing intervals (CPIs), all of which enable detection of a greater variety of targets than is possible with traditional systems. In this paper, upper bounds on the signal-to-interference-plus-noise (SINR) loss are derived for post-SAR processing in the presence of three types of impairments: internal clutter motion, volumetric clutter, and antenna backlobes. These bounds are important for both the design and assessment of this type of MTI system, as impairments such as these can influence the entire system architecture. | en_US |
dc.description.sponsorship | United States. Defense Advanced Research Projects Agency (Air Force contract FA8721-05-C-0002) | en_US |
dc.language.iso | en_US | |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1109/PACRIM.2009.5291365 | en_US |
dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | en_US |
dc.source | IEEE | en_US |
dc.title | Upper bounds on processing loss for wideband, long-CPI space-time adaptive processing | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Golowich, S.E. “Upper bounds on processing loss for wideband, long-CPI space-time adaptive processing.” Communications, Computers and Signal Processing, 2009. PacRim 2009. IEEE Pacific Rim Conference on. 2009. 251-256. © 2009 Institute of Electrical and Electronics Engineers. | en_US |
dc.contributor.department | Lincoln Laboratory | en_US |
dc.contributor.approver | Golowich, Steven E. | |
dc.contributor.mitauthor | Golowich, Steven E. | |
dc.relation.journal | IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, 2009. PacRim 2009 | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dspace.orderedauthors | Golowich, Steven E. | en |
mit.license | PUBLISHER_POLICY | en_US |
mit.metadata.status | Complete | |