ISBN: 978-981-11-3671-9 DOI: 10.18178/wcse.2017.06.142
The Algorithm of Spectrum Detection Based on Signal Sampling Autocorrelation
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.