A spectrum sensing algorithm based on estimating the number of source signals
Proceedings of the 2010 2nd International Conference on Future Computer and Communication, ICFCC 2010（2010）
摘要
Spectrum sensing is a key technology in cognitive radio systems. The quiet period is commonly used during the sensing period to avoid the interference from the cognitive networks. In this paper, we propose a new sensing algorithm that does not need to set the quiet period. The presence or absence of the primary signal is judged by estimating the number of source signals based on the application of information theoretic criteria for model selection. The performance of the new method is validated by simulation results. ©2010 IEEE.
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关键词
cognitive radio,covariance matrix,eigenvalues,spectrum sensing,radio transmitters,model selection,wireless sensor networks,sensors,interference,information theory,signal to noise ratio,frequency,cognitive networks,sampling methods,computer vision
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