Evaluation spectrum sensing in Cognitive Radio based on signal covariance matrix

Spectrum sensing is one of component in cognitive radio (CR). The sensing algorithm that usually used is the matched filter and the energy detector. Because there is a shortage in energy detector, which is very sensitive to noise power uncertainty. Then formed a new method based on the covariance matrix of the received signal. In this paper analysis on cognitive radio spectrum sensing using signal covariance matrix and energy detector. The signal space-time block coding (STBC) as a signal primary user (PU) randomly generated and then transmitted through the channel Geometrically-Based Single Bounce (GBSB). Evaluation results showed that there are several factors that influence the algorithm signal covariance matrix such as; Number of Antenna Receiver (nR), MIMO STBC scheme, Channel shape GBSB Circular and Ellips, Last algorithm signal covariance matrix resistant to noise uncertainty.