Research on Dynamic Threshold Based Energy Detection in Cognitive Radio Systems

Abstract:

In cognitive radio networks, nodes should have the capability to decide whether a signal from a primary transmitter is locally present or not in a certain spectrum within a short detection period. Traditional spectrum sensing schemes based on fixed threshold are sensitive to noise uncertainty, a fractional fluctuate of average noise power in a short time can lead the performance of spectrum detection drop seriously. This paper presents a new spectrum detection algorithm based on dynamic threshold. Theoretical results show that the proposed scheme debate the noise uncertainty, and good detection performance can be gained, if suitable dynamic threshold is chosen. In other words, the proposed scheme can enhance the robustness against noise and improve the capacity of spectrum sensing.

• Periodical: Advanced Materials Research (Volume 462)
• Pages: 506-511
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.462.506
• Online since: February 2012
• Authors: Gui Cai Yu, Cheng Zhi Long, Man Tian Xiang
• Keywords: Cognitive Radio (CR), Dynamic Threshold, Energy Detection, Noise Uncertainty

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