• About
  • Policies
  • What is open access
  • Library
  • Contact
Advanced search
      View Item 
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
      • View Item
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Compressive sensing based target detection in delay-doppler radars

      Thumbnail
      View / Download
      401.8 Kb
      Author(s)
      Teke, Oguzhan
      Arıkan, Orhan
      Gürbüz, A.C.
      Date
      2013
      Source Title
      2013 21st Signal Processing and Communications Applications Conference (SIU)
      Publisher
      IEEE
      Language
      Turkish
      Type
      Conference Paper
      Item Usage Stats
      190
      views
      161
      downloads
      Abstract
      Compressive Sensing theory shows that, a sparse signal can be reconstructed from its sub-Nyquist rate random samples. With this property, CS approach has many applications. Radar systems, which deal with sparse signal due to its nature, is one of the important application of CS theory. Even if CS approach is suitable for radar systems, classical detections schemes under Neyman-Pearson formulations may result high probability of false alarm, when CS approach is used, especially if the target has off-grid parameters. In this study, a new detection scheme which enables CS techniques to be used in radar systems is investigated. © 2013 IEEE.
      Keywords
      Compressive sensing
      Radar signal processing
      Compressive sensing
      Detection scheme
      High probability
      Neyman-pearson
      Off-grids
      Radar signal processing
      Random sample
      Sparse signals
      Doppler radar
      Radar systems
      Signal detection
      Signal reconstruction
      Permalink
      http://hdl.handle.net/11693/28002
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/SIU.2013.6531496
      Collections
      • Department of Electrical and Electronics Engineering 3702
      Show full item record

      Related items

      Showing items related by title, author, creator and subject.

      • Thumbnail

        Sıkıştırılmış algılama kullanarak Uzaklık-Doppler radar hedef tespiti 

        Sevimli, R. Akın; Tofighi, Mohammad; Çetin, A. Enis (IEEE, 2014-04)
        Sıkıştırılmış algılama(SA) fikri, az sayıda ölçümlerden seyrek bir sinyalin geri çatımını mümkün kılar. SA yaklaşımı bir çok farklı alanda uygulamalara sahiptir. Bu alanlardan birisi de radar sistemleridir. Bu makalede, ...
      • Thumbnail

        Range-doppler radar target detection using denoising within the compressive sensing framework 

        Sevimli, R. Akın; Tofighi, Mohammad; Çetin, A. Enis (IEEE, 2014-09)
        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 ...
      • Thumbnail

        Successive cancelation approach for doppler frequency estimation in pulse doppler radar systems 

        Soğancı, Hamza; Gezici, Sinan (IEEE, 2010)
        In this paper, a successive cancelation approach is proposed to estimate Doppler frequencies of targets in pulse Doppler radar systems. This technique utilizes the Doppler domain waveform structure of the received signal ...

      Browse

      All of BUIRCommunities & CollectionsTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartmentsThis CollectionTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartments

      My Account

      LoginRegister

      Statistics

      View Usage StatisticsView Google Analytics Statistics

      Bilkent University

      If you have trouble accessing this page and need to request an alternate format, contact the site administrator. Phone: (312) 290 1771
      © Bilkent University - Library IT

      Contact Us | Send Feedback | Off-Campus Access | Admin | Privacy