A Blind Detection Algorithm Utilizing Statistical Covariance in Cognitive Radio

Provided by: International Journal of Computer Science Issues
Topic: Mobility
Format: PDF
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, the authors 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.

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