分布式宽带合作频谱感知算法

doi:10.3969/j.issn.1001-2400.2015.01.023

Abstract

Abstract:

In order to solve the problems of high communication overhead and computational complexity for reconstructing the sparse frequency spectrum in conventional cooperative wideband spectrum sensing, a novel decentralized algorithm based on distributed subspace estimation is proposed. In the proposed method, the subspace is estimated directly from the sub-Nyquist samples and then the orthogonality property of the signal subspace and noise subspace can be exploited to complete spectrum sensing. To obtain the spatial diversity gain, the global signal subspace is estimated by using the distributed algorithm based on the diffusion adaptation cooperation scheme. Theoretical analysis and simulation results show that the method does not reconstruct the original signal spectrum, with lower computational complexity. The fully distributed cooperative scheme improves the performance of spectrum sensing and has a lower communication amount.

Key words: wideband spectrum sensing, sub-Nyquist sampling, distributed estimation, subspace method, diffusion adaptation

CLC Number:

TN914

WU Di;GE Lindong;PENG Hua. Research on the distributed cooperative wideband spectrum sensing[J].J4, 2015, 42(1): 142-148.

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Research on the distributed cooperative wideband spectrum sensing

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