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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Acknowledgments
This paper was supported by the National Natural Science Foundation of China (Grant No. 61561017 and Grant No. 61261024), National Science & Technology Pillar Program (Grant No. 2014BAD10B04), and Hainan Province Major Science & Technology Project (Grant No. ZDKJ2016015).
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Chen, L., Wu, X., Bai, Y. (2018). Wideband Spectrum Sensing by Multi-step Sample Autocorrelation Detection. In: Huang, M., Zhang, Y., **g, W., Mehmood, A. (eds) Wireless Internet. WICON 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 214. Springer, Cham. https://doi.org/10.1007/978-3-319-72998-5_24
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DOI: https://doi.org/10.1007/978-3-319-72998-5_24
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