A Blind Detection Algorithm Utilizing Statistical Covariance in Cognitive Radio
As the expression of performance parameters are obtained using asymptotic method in most blind covariance detection algorithm, the paper presented a new blind detection algorithm using cholesky factorization. Utilizing random matrix theory, we derived the performance parameters using non-asymptotic method. The proposed method overcomes the noise uncertainty problem and performs well without any information about the channel, primary user and noise. Numerical simulation results demonstrate that the performance parameters expressions are correct and the new detector outperforms the other blind covariance detectors.
Keywords: Covariance, Cognitive Radio, Cholesky Decomposition, Blind Detection
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ABOUT THE AUTHORS
Yingxue Li
School of Electronic Engineering, Beijing University of Posts and Telecommunications Beijing, 100876, China
Shuqun Shen
University of Posts and Telecommunications Beijing, 100876, China
Qiucai Wang
School of information and communication engineering, Beijing University of Posts and Telecommunications Beijing, 100876, China
Yingxue Li
School of Electronic Engineering, Beijing University of Posts and Telecommunications Beijing, 100876, China
Shuqun Shen
University of Posts and Telecommunications Beijing, 100876, China
Qiucai Wang
School of information and communication engineering, Beijing University of Posts and Telecommunications Beijing, 100876, China
