Space-Time Bayesian Compressed Spectrum Sensing for Wideband Cognitive Radio Networks

Abstract

Wideband spectrum sensing in cognitive radio networks remains an open challenge due to wideband spectrum acquisition implementation. Compressed spectrum sensing provides a powerful approach to acquire wideband signals. We purpose a probabilistic Space-time Bayesian Compressed Spectrum Sensing (ST-BCSS) to combat the noise in wideband compressed… (More)

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Cite this paper

@article{Zhang2010SpaceTimeBC, title={Space-Time Bayesian Compressed Spectrum Sensing for Wideband Cognitive Radio Networks}, author={Zhenghao Zhang and Husheng Li and Depeng Yang and Changxing Pei}, journal={2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)}, year={2010}, pages={1-11} }