期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2014
卷号：7
期号：2
页码：107-130
出版社：SERSC
摘要：Compressed sensing is a revolutionary technology in the research eld of signal processing,which can reconstruct the sparse signal using fewer number of compressive measurementscompared with conventional reconstruction methods. Compressed sensing can also be utilizedto detect the sparse signal. However, the exact reconstruction operation is not necessarywhen the system aims to detect such sparse signal. Based on compressed sensing, a newcompressive signal detection scheme using the sparsity order of the sparse signal is proposedin this paper. Compared with similar detection scheme using the supports of the sparsesignal, the newly proposed scheme requires much fewer number of compressive samples. Inparticular, the proposed scheme does not require the support prior-information of the sparsesignal. Simulation results verify the advantages of the proposed scheme and indicate thatthe new scheme can achieve better detection performance.
关键词：compressed sensing; signal detection; sparsity order
