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      • Department of Electrical and Electronics Engineering
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      Compressed sensing on ambiguity function domain for high resolution detection

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      Author
      Güldoǧan, Mehmet B.
      Pilancı, Mert
      Arıkan, Orhan
      Date
      2010
      Source Title
      2010 IEEE 18th Signal Processing and Communications Applications Conference
      Publisher
      IEEE
      Pages
      65 - 68
      Language
      Turkish
      Type
      Conference Paper
      Item Usage Stats
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      Abstract
      In this paper, by using compressed sensing techniques, a new approach to achieve robust high resolution detection in sparse multipath channels is presented. Currently used sparse reconstruction techniques are not immediately applicable in wireless channel modeling and radar signal processing. Here, we make use of the cross-ambiguity function (CAF) and transformed the reconstruction problem from time to delay-Doppler domain for efficient exploitation of the delay-Doppler diversity of the multipath components. Simulation results quantify the performance gain and robustness obtained by this new CAF based compressed sensing approach. ©2010 IEEE.
      Keywords
      Ambiguity function
      Compressed sensing
      Cross-ambiguity function
      Doppler
      Doppler diversity
      High resolution detection
      Multi-path components
      New approaches
      Performance Gain
      Radar signal processing
      Reconstruction problems
      Simulation result
      Sparse multi-path channel
      Sparse reconstruction
      Wireless channel modeling
      Room and pillar mining
      Sensors
      Signal processing
      Signal reconstruction
      Signal detection
      Permalink
      http://hdl.handle.net/11693/28426
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/SIU.2010.5650397
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      • Department of Electrical and Electronics Engineering 3524
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