Statistical Matched Filter Based Robust Spectrum Sensing in Noise Uncertainty Environment

摘要：

　　Spectrum sensing enables cognitive radio to obtain radio environment knowledge.Most of spectrum sensing encounters low signal to noise ratio (SNR) signal detection problem.However,non-ideal noise which is modeled as noise uncertainty degrades the sensing performance,and makes it unsatisfied for the sensing requirement.To deal with the problem,this paper proposes a new method based on the ratio of maximum-to-mean absolute value of matched filter output.The test statistic proposed is robust to overcome the noise uncertainty.This paper also finds the threshold of the method for a given probability of false alarm,and gives theoretical analysis of probability of detection.Simulation results show the proposed method could achieve better performance than conventional spectrum sensing methods in noise uncertainty environment.

关键词： cognitive radio spectrum sensing noise uncertainty matched filter ratio of maximum-to-mean

作者: Chenggang Jiang Yuanyuan Li Wenling Bai Yu Yang Jinling Hu

作者单位: State Key Laboratory of Wireless Mobile Communications(CATT)China Academic of Telecommunication & Technology, CATT

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: 1301-1305

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）