A Novel Two-Stage Entropy-Based Spectrum Sensing Scheme in Cognitive Radio

摘要：

　　Spectrum sensing is a key problem in cognitive radio.However,traditional detectors become ineffective when noise uncertainty is severe.It was shown that the entropy of Gauss white noise is constant in the frequency domain,and a robust detector based on the entropy of spectrum amplitude was proposed.In this paper a novel detector is proposed based on the entropy of spectrum power density,and its performance is better than the previous scheme with less computational complexity.Furthermore,to improve the reliability of the detection,a twostage entropy-based spectrum sensing scheme using two-bit decision is proposed,and simulation results show its superior performance with relatively low computational complexity.

关键词： component ognitive radio sepctrum sensing information entropy noise uncertainty

作者: Nan Zhao

作者单位: School of Information and Communication Engineering Dalian University of Technology Dalian, China

会议类型: 国际会议

会议名称: 2012 IEEE 14th International Conference on Communication Technology(2012年第十四届通信技术国际会议(ICCT 2012))

会议地点: 成都

会议语种:英文

页码: 22-26

在线出版日期: 2012-11-09（万方平台首次上网日期，不代表论文的发表时间）