Noise power estimation with DVB-T input for spectrum sensing in cognitive radio network

Noise estimation is an essential issue on the wireless communication system. Cognitive radio network uses the spectrum sensing to detect opportunistically the unoccupied spectrum holes and the licensed user. Several methods of spectrum sensing need the knowledge of noise power in advance. In this paper, we proposed noise power estimation that suitable for the condition of cognitive radio. The estimator does not need any a priori information about the signal. The simulation is done with the input of Digital Video Broadcasting - Terrestrial (DVBT) signal which passes through AWGN channel in two condition, ideal and real condition. The performances are given in normalized mean-square-error (NMSE) and noise uncertainty. It is shown a low value of NMSE. The estimator with DVB-T input also works well at low SNR and avoid SNR wall phenomenon.