A Spectrum Sensing Algorithm Based on Maximum Entropy Spectral Estimation

摘要：

　　A spectrum sensing algorithm,named as MESE algorithm,based on maximum entropy spectral estimation was constructed in this papers.Frequency domain analysis was introduced into the spectrum sensing,peak to average power spectrum amplitude ratio (PAAR) was taken as detection statistics,Detection threshold obtained from the probability density distribution of the detection statistic by the method of Monte Carlo.The simulation results show that the detection performance of MESE algorithm was much better than energy detection algorithm.

关键词： cognitive radio spectrum sensing PAAR Maximum Entropy Spectral Estimation

作者: Jiangzhou Wang

作者单位: Xian University of Posts and Telecommunications, China

会议类型: 国际会议

会议名称: 2016 2nd International Conference on Mechanical, Electronic and Information Technology Engineering(2016机械、电子和信息技术国际会议)

会议地点: 重庆

会议语种:英文

页码: 88-91

在线出版日期: 2016-03-21（万方平台首次上网日期，不代表论文的发表时间）