Research Article
Distributed Compressive Sensing Based Spectrum Sensing Method
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@INPROCEEDINGS{10.1007/978-3-319-73564-1_24, author={Yanping Chen and Yulong Gao and Yongkui Ma}, title={Distributed Compressive Sensing Based Spectrum Sensing Method}, proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I}, proceedings_a={MLICOM}, year={2018}, month={2}, keywords={Distributed compressive sensing Spectrum sensing Joint sparse model Time-domain detection}, doi={10.1007/978-3-319-73564-1_24} }
- Yanping Chen
Yulong Gao
Yongkui Ma
Year: 2018
Distributed Compressive Sensing Based Spectrum Sensing Method
MLICOM
Springer
DOI: 10.1007/978-3-319-73564-1_24
Abstract
For multi-antenna system, the difficulties of preforming spectrum sensing are high sampling rate and hardware cost. To alleviate these problems, we propose a novel utilization of distributed compressive sensing for the multi-antenna case. The multi-antenna signals first are sampled in terms of distributed compressive sensing, and then the time-domain signals are reconstructed. Finally, spectrum sensing is performed with help of energy-based sensing method. To evaluate the proposed method, we do the corresponding simulations. The simulation results proves the proposed method.
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