Title :
A New Spectrum Sensing Method Using Output Analysis of the PFD
Author :
Vahidpoor, Z. ; Fotowat-Ahmady, Ali ; Forooraghi, K. ; Atlasbaf, Zahra
Author_Institution :
Tarbiat Modares Univ., Tehran, Iran
Abstract :
In this brief, a new blind spectrum sensing method is proposed based on frequency comparison using a phase frequency detector (PFD). The PFD output patterns are utilized in a way to sense the spectrum with no knowledge of incoming signals, noise, or channel parameters. The detection and false alarm error probabilities are analytically calculated for additive white Gaussian noise and sine-wave input and are simulated for different inputs. It is shown that the required detection and false alarm probabilities can be achieved by changing the system parameters. The results show that the proposed method has lower complexity and outperforms the previous single-antenna blind method over flat fading channel.
Keywords :
AWGN; cognitive radio; error statistics; fading channels; radio spectrum management; PFD output analysis; additive white Gaussian noise; blind spectrum sensing method; detection probabilities; false alarm error probabilities; flat fading channel; frequency comparison; phase frequency detector; sine-wave input; single-antenna blind method; Cognitive radio; Noise measurement; Phase frequency detector; Sensors; Signal to noise ratio; Simulation; Cognitive radio (CR); frequency comparison; phase frequency detector (PFD); spectrum sensing;
Journal_Title :
Circuits and Systems II: Express Briefs, IEEE Transactions on
DOI :
10.1109/TCSII.2013.2251972