Sıkıştırılmış algılama kullanarak Uzaklık-Doppler radar hedef tespiti
Author
Sevimli, R. Akın
Tofighi, Mohammad
Çetin, A. Enis
Date
2014-04Source Title
22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings
Publisher
IEEE
Pages
1893 - 1896
Language
Turkish
Type
Conference PaperItem Usage Stats
229
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319
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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 FunctionCompressive 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/11693/27064Published Version (Please cite this version)
http://dx.doi.org/10.1109/SIU.2014.6830624Collections
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