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      • Department of Electrical and Electronics Engineering
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      Sparse delay-Doppler image reconstruction under off-grid problem

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      Author
      Teke, Oğuzhan
      Gürbüz, A. C.
      Arıkan, Orhan
      Date
      2014-06
      Source Title
      Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, 2014
      Publisher
      IEEE
      Pages
      409 - 412
      Language
      English
      Type
      Conference Paper
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      Abstract
      Pulse-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.
      Keywords
      Doppler radar
      Fast Fourier transforms
      Image reconstruction
      Closely-spaced targets
      Compressive sensing
      Detection performance
      Parameter perturbation
      Performance metrices
      Pulse-Doppler radar
      Sparse reconstruction
      Sub-Nyquist sampling
      Signal processing
      Permalink
      http://hdl.handle.net/11693/27796
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/SAM.2014.6882429
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      • Department of Electrical and Electronics Engineering 3524
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