WCSE 2017
ISBN: 978-981-11-3671-9 DOI: 10.18178/wcse.2017.06.142

The Algorithm of Spectrum Detection Based on Signal Sampling Autocorrelation

Jianjun Tao, Xiaoqin Wu

Abstract— Spectrum sensing is the key technology of cognitive radio. According to the statistical characteristics of signal and noise we can determine whether the received signal contains the primary user signal. In this paper, we have a deep study on spectrum sensing algorithms based on signal autocorrelation. Study on the influence of various parameters on threshold and the relationship between threshold and detection probability are derived. Through the combination of theoretical simulation and experimental signal simulation, we have an overall explanation of the performance of the detection algorithm based on signal autocorrelation. The influence of different channels on the detection performance is also studied. Comparing with the energy detection algorithm, the algorithm in this paper has good robustness.

Index Terms— Spectrum sensing, Sampling autocorrelation, Energy detection

Jianjun Tao, Xiaoqin Wu
College of Information Science and Technology, Hainan Universtiy, CHINA


Cite: Jianjun Tao, Xiaoqin Wu, "The Algorithm of Spectrum Detection Based on Signal Sampling Autocorrelation," Proceedings of 2017 the 7th International Workshop on Computer Science and Engineering, pp. 815-821, Beijing, 25-27 June, 2017.