Eigenvalue-Based Spectrum Sensing for Multiple Received Signals Under the Non-Reconstruction Framework of Compressed Sensing

Eigenvalue-Based Spectrum Sensing for Multiple Received Signals Under the Non-Reconstruction Framework of Compressed Sensing

Eigenvalue-based algorithm is generally acknowledged to be a promising method for spectrum sensing. However, it possesses high computational complexity, because the sampled covariance matrix and the corresponding eigenvalues are calculated. Furthermore, the detection performance of eigenvalue-based...

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Bibliographic Details
Main Authors: Yulong Gao, Yanping Chen, Yongkui Ma, Chenguang He, Linxiao Su
Format: Article
Language:English
Published: IEEE 2016-01-01
Series:IEEE Access
Subjects:
Compressed sensing
non-reconstruction framework
sampled covariance matrix
standard condition number (SCN)
Online Access:https://ieeexplore.ieee.org/document/7539226/

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