Range-doppler radar target detection using denoising within the compressive sensing framework
buir.contributor.author | Çetin, A. Enis | |
buir.contributor.orcid | Çetin, A. Enis|0000-0002-3449-1958 | |
dc.citation.epage | 1954 | en_US |
dc.citation.spage | 1950 | en_US |
dc.contributor.author | Sevimli, R. Akın | en_US |
dc.contributor.author | Tofighi, Mohammad | en_US |
dc.contributor.author | Çetin, A. Enis | en_US |
dc.coverage.spatial | Lisbon, Portugal | |
dc.date.accessioned | 2016-02-08T11:51:55Z | |
dc.date.available | 2016-02-08T11:51:55Z | |
dc.date.issued | 2014-09 | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description | Date of Conference: 1-5 Sept. 2014 | |
dc.description | Conference name: 22nd European Signal Processing Conference (EUSIPCO), 2014 | |
dc.description.abstract | Compressive sensing (CS) idea enables the reconstruction of a sparse signal from a small set of measurements. CS approach has applications in many practical areas. One of the areas is radar systems. In this article, the radar ambiguity function is denoised within the CS framework. A new denoising method on the projection onto the epigraph set of the convex function is also developed for this purpose. This approach is compared to the other CS reconstruction algorithms. Experimental results are presented1. © 2014 EURASIP. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T11:51:55Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2014 | en |
dc.identifier.uri | http://hdl.handle.net/11693/27385 | |
dc.language.iso | English | en_US |
dc.publisher | IEEE | |
dc.relation.isversionof | https://ieeexplore.ieee.org/document/6952710 | |
dc.source.title | European Signal Processing Conference | en_US |
dc.subject | Ambiguity Function | en_US |
dc.subject | Denoising | en_US |
dc.subject | Compressed sensing | en_US |
dc.subject | Doppler radar | en_US |
dc.subject | Functions | en_US |
dc.subject | Radar systems | en_US |
dc.subject | Radar target recognition | en_US |
dc.subject | Signal reconstruction | en_US |
dc.subject | Tracking radar | en_US |
dc.subject | Ambiguity function | en_US |
dc.subject | Compressive sensing | en_US |
dc.subject | Convex functions | en_US |
dc.subject | De-noising | en_US |
dc.subject | Denoising methods | en_US |
dc.subject | Radar signal processing | en_US |
dc.subject | Radar target detection | en_US |
dc.subject | Reconstruction algorithms | en_US |
dc.subject | Signal processing | en_US |
dc.title | Range-doppler radar target detection using denoising within the compressive sensing framework | en_US |
dc.type | Conference Paper | en_US |
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