A Novel Cooperative Spectrum Sensing Algorithm Based on the Maximum Eigenvalue
Cao Kai-tian Yang Zhen
(Institute of Signal Processing and Transmission, Nanjing University of Posts and Telecommunications, Nanjing 210003, China)
(Key Lab of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education, Nanjing 210003, China)
Abstract：In order to overcome the disadvantages of the traditional spectrum sensing methods in Cognitive Radio (CR), a novel cooperative sensing algorithm based on the maximum eigenvalue and average energy of the received signal covariance matrix is presented in this paper. The proposed algorithm exploits the ratio of the Maximum Eigenvalue to Energy Detection (ME-ED) to determine whether the Primary User (PU) is present or not. Through the theoretical analysis, ME-ED scheme can work well without the knowledge of the PU signal and the noise power. In addition, simulations show ME-ED is not sensitive to noise uncertainty, and can obtain the optimal sensing performance and the strongest robustness under the noise uncertainty compared to MED and ED.
曹开田, 杨震. 一种新型的基于最大特征值的合作频谱感知算法[J]. 电子与信息学报, 2011, 33(6): 1367-1372.
Cao Kai-Tian, Yang Zhen. A Novel Cooperative Spectrum Sensing Algorithm Based on the Maximum Eigenvalue. , 2011, 33(6): 1367-1372.
2011, Vol. 33 
