Cooperative frequency spectrum sensing based on the spatial spectral estimation in cognitive radio sensor networks

In this paper, we consider that cooperative frequency spectrum sensing based on the spatial spectral estimation in cognitive radio sensor networks. We propose an algorithm that estimates the interference temperature of this model using a generalization of the DOA (direction of arrival) algorithm. From this, we find the interference temperature and show that it does become smaller. We compare our method to the conventional (without considering directions) algorithm. The simulation studies show that the new method outperforms the conventional algorithm by reducing the estimation interference temperature and improving the frequency spectrum efficiency.