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Title: Sparsity enhanced fast subsurface imaging for stepped frequency GPRs
Other Titles: Basamak frekansli GPR için seyreklik tabanli hizli yer alti görüntüleme
Authors: Tuncer, Mehmet Ali Çağrı
Gürbüz, Ali Cafer
Issue Date: 2010
Source: 18th IEEE Signal Processing and Communications Applications Conference, SIU 2010, 22 April 2010 through 24 April 2010, Diyarbakir, 83388
Abstract: A sparsity enhanced and fast data acquisition and imaging method is presented for stepped-frequency continuous-wave ground penetrating radars (SFCW GPRs). In previous work it is shown that if the target space is sparse like the point like targets, an image of the target space can be constructed with making measurements at only a small number of random frequencies by solving an l 1 minimization problem. This greatly reduces the data acquisition time but the computational complexity for the imaging method is high. In this work, subsurface imaging is done with a suboptimal but fast method, orthogonal matching pursuit. Similar results to l1 minimization images are obtained within much shorter times. Also the results are sparse and less cluttered compared to standard backprojection images. ©2010 IEEE.
ISBN: 9781424496716
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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