Cognitive Radio Spectrum Sensing Based on Wavelet Denoising

Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 129)

Abstract

Spectrum sensing which detects the presence of primary user in a licensed spectrum is a fundamental problem in cognitive radio. Sensing accuracy is the most important factor to determine the performance of cognitive radio. Due to the existence of noise, many algorithms are subject to some limitations for application. In this paper, a novel spectrum sensing method is proposed based on the wavelet denoising. An important scenario for the different characterization of signal and noise in the wavelet multi-scale analysis is the case where the receiver is able to distinguish the signal and noise. This method does not require any prior information about the primary signal, and also has a good spectrum sensing performance at a low SNR.

Keywords

Cognitive Radio Primary User Cognitive Radio User Wavelet Shrinkage Wavelet Denoising 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Changchun University of Science and TechnologyChangchunChina

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