Sparse delay-Doppler image reconstruction under off-grid problem

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buir.contributor.authorArıkan, Orhan
buir.contributor.orcidArıkan, Orhan|0000-0002-3698-8888
dc.citation.epage412en_US
dc.citation.spage409en_US
dc.contributor.authorTeke, Oğuzhanen_US
dc.contributor.authorGürbüz, A. C.en_US
dc.contributor.authorArıkan, Orhanen_US
dc.coverage.spatialA Coruna, Spain
dc.date.accessioned2016-02-08T12:01:55Z
dc.date.available2016-02-08T12:01:55Z
dc.date.issued2014-06en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 22-25 June 2014
dc.descriptionConference name: 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)
dc.description.abstractPulse-Doppler radar has been successfully applied to surveillance and tracking of both moving and stationary targets. For efficient processing of radar returns, delay-Doppler plane is discretized and FFT techniques are employed to compute matched filter output on this discrete grid. However, for targets whose delay-Doppler values do not coincide with the computation grid, the detection performance degrades considerably. Especially for detecting strong and closely spaced targets this causes miss detections and false alarms. Although compressive sensing based techniques provide sparse and high resolution results at sub-Nyquist sampling rates, straightforward application of these techniques is significantly more sensitive to the off-grid problem. Here a novel and OMP based sparse reconstruction technique with parameter perturbation, named as PPOMP, is proposed for robust delay-Doppler radar processing even under the off-grid case. In the proposed technique, the selected dictionary parameters are perturbed towards directions to decrease the orthogonal residual norm. A new performance metric based on Kull-back-Leibler Divergence (KLD) is proposed to better characterize the error between actual and reconstructed parameter spaces. © 2014 IEEE.en_US
dc.identifier.doi10.1109/SAM.2014.6882429en_US
dc.identifier.urihttp://hdl.handle.net/11693/27796
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/SAM.2014.6882429en_US
dc.source.titleProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, 2014en_US
dc.subjectDoppler radaren_US
dc.subjectFast Fourier transformsen_US
dc.subjectImage reconstructionen_US
dc.subjectClosely-spaced targetsen_US
dc.subjectCompressive sensingen_US
dc.subjectDetection performanceen_US
dc.subjectParameter perturbationen_US
dc.subjectPerformance metricesen_US
dc.subjectPulse-Doppler radaren_US
dc.subjectSparse reconstructionen_US
dc.subjectSub-Nyquist samplingen_US
dc.subjectSignal processingen_US
dc.titleSparse delay-Doppler image reconstruction under off-grid problemen_US
dc.typeConference Paperen_US

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