Wideband Spectrum Sensing Based on Reconfigurable Filter Bank in Cognitive Radio
Abstract
:1. Introduction
2. System Model
3. Design of Reconfigurable P-DFTFB
3.1. Design of Analysis P-DFTFB
3.2. Design of Improved Analysis P-DFTFB
3.3. Reconfiguration
4. Wideband Spectrum-Sensing Based on RFB
4.1. Energy Detection for Sub-Bands
4.2. Selection of RFB Sub-Bands Number
Algorithm 1 Selection of |
1: Initialization: . 2: If , if end else end 3: If , if end else end 4: Otherwise, the would be unchanged at the next sensing time. |
5. Simulation Results and Analysis
5.1. Data Preprocessing
5.2. Wideband Spectrum Sensing Based on RFB
6. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Wang, H.; Wu, B.; Yao, Y.; Qin, M. Wideband Spectrum Sensing Based on Reconfigurable Filter Bank in Cognitive Radio. Future Internet 2019, 11, 244. https://doi.org/10.3390/fi11110244
Wang H, Wu B, Yao Y, Qin M. Wideband Spectrum Sensing Based on Reconfigurable Filter Bank in Cognitive Radio. Future Internet. 2019; 11(11):244. https://doi.org/10.3390/fi11110244
Chicago/Turabian StyleWang, Huan, Bin Wu, Yuancheng Yao, and Mingwei Qin. 2019. "Wideband Spectrum Sensing Based on Reconfigurable Filter Bank in Cognitive Radio" Future Internet 11, no. 11: 244. https://doi.org/10.3390/fi11110244