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《Journal of Data Acquisition and Processing》 2011-04
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Parallel Segmented Compressed Sensing Algorithm Based on Indices Back-Tracing

Wang Chao1,Wang Mingjiang1,Li Yuqing2,Shi Shuli1(1.School of Computer & Communication Engineering,University of Science and Technology of Beijing,Beijing,100083,China;2.Western Mining Co.Ltd,Xining,810001,China)  
A cognitive radio spectrum detecting method based on compressed sensing is proposed.The method adopts the parallel segmented compressed sampling method and the reconstruction algorithm based on indices back-tracing.After analyzing the performance difference of different reconstruction algorithms,parallel segmented compressed sampling method is described.The influence between segment number and reconstruction probability of CoSaMP and OMP is analyzed by simulation.Moreover,estimation method of frequency division is also described.
【Fund】: 国家自然科学基金(60902042)资助项目;; 国家博士点基金(20090006110014)资助项目;; 国家高技术研究发展计划(“八六三”计划)(2009AA062705)资助项目
【CateGory Index】: TN925
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