Research Article
A Spectrum Sensing System Based on Sub-Nyquist Rate Sampling
@INPROCEEDINGS{10.1109/ChinaCom.2013.6694668, author={Hsiao-En Chen and Wei-Lung Yang and Wei-Chieh Huang and Hsi-Pin Ma and Jen-Yuan Hsu}, title={A Spectrum Sensing System Based on Sub-Nyquist Rate Sampling}, proceedings={8th International Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2013}, month={11}, keywords={spectrum sensing compressive sensing architecture design}, doi={10.1109/ChinaCom.2013.6694668} }- Hsiao-En Chen
Wei-Lung Yang
Wei-Chieh Huang
Hsi-Pin Ma
Jen-Yuan Hsu
Year: 2013
A Spectrum Sensing System Based on Sub-Nyquist Rate Sampling
CHINACOM
IEEE
DOI: 10.1109/ChinaCom.2013.6694668
Abstract
In this paper, the proposed architecture uses mod- ulated wideband converter as a receiver for the cognitive radio. Although the modulated wideband converter needs more hardware components, its rate is far below the Nyquist rate. It implies that is cheaper than the Nyquist rate components, and it is easy to implement. However, the reconstruction procedure is computationally complex in conventional modulated wideband converter, because it interpolates the reconstructive signal to Nyquist rate. In order to reduce computational complexity, the signal is not reconstruct completely. Nevertheless, the main purpose of the proposed architecture is to do spectrum sensing, the low rate signal is included the narrow band information. Based on the property of discrete Fourier transform, the fast Fourier transform processor is replaced by summation procedure. The spectrum sensing system can reduce computational loads by 93.3% compared to adaptive multitaper spectral detector with Nyquist rate sampling.