Research Article
Wideband Spectrum Sensing by Multi-step Sample Autocorrelation Detection
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@INPROCEEDINGS{10.1007/978-3-319-72998-5_24, author={Lu Chen and Xiaoqin Wu and Yong Bai}, title={Wideband Spectrum Sensing by Multi-step Sample Autocorrelation Detection}, proceedings={Wireless Internet. 9th International Conference, WICON 2016, Haikou, China, December 19-20, 2016, Proceedings}, proceedings_a={WICON}, year={2018}, month={1}, keywords={Spectrum sensing Energy detection Sample autocorrelation detection GNU Radio}, doi={10.1007/978-3-319-72998-5_24} }- Lu Chen
Xiaoqin Wu
Yong Bai
Year: 2018
Wideband Spectrum Sensing by Multi-step Sample Autocorrelation Detection
WICON
Springer
DOI: 10.1007/978-3-319-72998-5_24
Abstract
Wideband spectrum sensing capability by using multi-step energy detection has been enabled in GNU Radio software radio platform. To improve the detection performance, we propose a novel approach of wideband spectrum sensing by multi-step sample autocorrelation detection. We first describe the principle of signal sample autocorrelation detection, then we present our proposed multi-step sample autocorrelation detection procedure for wideband spectrum sensing. The proposed procedure is simulated by using MATLAB, and the simulation results demonstrate that our proposal can achieve required detection performance by setting proper decision threshold.
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