Spectrum-Sensing Algorithms for Cognitive Radio Based on Statistical Covariances

By Yonghong Zeng, Ying-Chang Liang. IEEE Transactions on Vehicular Technology, 2008

663 citations recorded by the source corpus.

Spectrum sensing, i.e., detecting the presence of primary users in a licensed spectrum, is a fundamental problem in cognitive radio. Since the statistical covariances of the received signal and noise are usually different, they can be used to differentiate the case where the primary user's signal is present from the case where there is only noise. In this paper, spectrum-sensing algorithms are proposed based on the sample covariance matrix calculated from a limited number of received signal samples. Two test statistics are then extracted from the sample covariance matrix. A decision on the signal presence is made by comparing the two test statistics. Theoretical analysis for the proposed algorithms is given. Detection probability and the associated threshold are found based on the statistical theory. The methods do not need any information about the signal, channel, and noise power a priori. In addition, no synchronization is needed. Simulations based on narrow-band signals, captured digital television (DTV) signals, and multiple antenna signals are presented to verify the methods.

Subfields: Computational Mechanics, Computer Networks and Communications, Signal Processing

View Paper: https://www.semanticscholar.org/paper/b2c8bd06cdf8bc970aaa7aae4cecf44e84fcfc70

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Citations in the corpus

Advances in cognitive radio networks: A survey (2011, background): “Statistical Covariance-Based Sensing: Since the statistical covariance matrices of the received signal and noise are generally different, the difference is used in [53] and [54] to differentiate the desired signal component from background noise.”
A Review on Spectrum Sensing for Cognitive Radio: Challenges and Solutions (2010, methodology): “Based on the sample covariance matrix, we could develop the covariance absolute value (CAV) test [27, 28] defined as”
Cognitive radio networking and communications: an overview (2011, background): “Covariancebased detection (CBD) [32], [33] has been developed as one of the blind-spectrum-sensing schemes.”