Sparse signal recovery with OMP algorithm using sensing measurement matrix
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概要
- 論文の詳細を見る
Orthogonal matching pursuit (OMP) algorithm with random measurement matrix (RMM), often selects an incorrect variable due to the induced coherent interference between the columns of RMM. In this paper, we propose a sensing measurement matrix (SMM)-OMP which mitigates the coherent interference and thus improves the successful recovery probability of signal. It is shown that the SMM-OMP selects all the significant variables of the sparse signal before selecting the incorrect ones. We present a mutual incoherent property (MIP) based theoretical analysis to verify that the proposed method has a better performance than RMM-OMP. Various simulation results confirm our proposed method efficiency.
- The Institute of Electronics, Information and Communication Engineersの論文
著者
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Wan Qun
Department Of Automation Tsinghua University
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Adachi Fumiyuki
Department Of Electorical Communication Engineering Graduate School Of Engineering Tohoku University
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Mehbodniya Abolfazl
Department of Electrical and Communication Engineering, Graduate School of Engineering, Tohoku University
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Gui Guan
Department of Electronic Engineering, University of Electronic Science and Technology of China
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Adachi Fumiyuki
Department of communication Engineering
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GUI Guan
Department of Communications Engineering, Graduate School of Engineering, Tohoku University
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