An Effective Spectrum Sensing Method Based on Correlation Coefficient and Energy Detection

Abstract:

Spectrum sensing is the key functionality for dynamic spectrum access in cognitive radio networks. Energy detection is one of the most popular spectrum sensing methods due to its low complexity and easy implementation. However, performance of the energy detector is susceptible to uncertainty in noise power. To overcome this problem, this paper proposes an effective spectrum sensing method based on correlation coefficient. The proposed method utilizes a single receiving antenna with a delay device to acquire the original received signal and the delayed signal. Then the correlation coefficient of the two signals is computed and the result is used as the test statistic. Theoretical analysis shows that the decision threshold is unrelated to noise power, thus the proposed approach can effectively overcome the influence of noise power uncertainty. Simulation results testify the effectiveness of the proposed method even in low signal-to-noise (SNR) conditions.

• Periodical: Advanced Materials Research (Volume 1023)
• Pages: 210-213
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1023.210
• Online since: August 2014
• Authors: Fu Lai Liu, Shou Ming Guo, Rui Yan Du*
• Keywords: Cognitive Radio, Correlation Coefficient, Decision Threshold, Spectrum Sensing

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