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      Sıkıştırılmış algılama kullanarak Uzaklık-Doppler radar hedef tespiti

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      Author
      Sevimli, R. Akın
      Tofighi, Mohammad
      Çetin, A. Enis
      Date
      2014-04
      Source Title
      22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings
      Publisher
      IEEE
      Pages
      1893 - 1896
      Language
      Turkish
      Type
      Conference Paper
      Item Usage Stats
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      Abstract
      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, radar belirsizlik fonksiyonu (Ambiguity Function) SA çatısı altında gürültüden arındırılmıştır. Bu amaç için dışbükey fonksiyonun epigraf kümesine izdüşüm tabanlı yeni bir gürültüden arındırma metodu geliştirilmiştir. Bu yaklaşım, diğer SA geri çatım algoritmalarıyla karşılaştırılmıştır. Deneysel sonuçlar sunulmuştur.
       
      Compressive sensing (CS) idea enables the reconstruction of a sparse signal from small number of measurements. CS approach has many applications in many 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 presented. © 2014 IEEE.
      Keywords
      Ambiguity Function
      Compressive Sensing
      Radar Signal Processing
      Doppler radar
      Functions
      Radar systems
      Radar target recognition
      Ambiguity function
      Compressive sensing
      Convex functions
      Denoising methods
      Radar signal processing
      Radar target detection
      Reconstruction algorithms
      Sparse signals
      Signal reconstruction
      Permalink
      http://hdl.handle.net/11693/27064
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/SIU.2014.6830624
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      • Department of Electrical and Electronics Engineering 3616
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