Performance Evaluation Comparison of Primary User Signal Detection Methods for Cognitive Radio System

Abstract: Utilization of electromagnetic radiofrequency spectrum with efficient way, we required to check the spectrum to determine whether it is being used by primary user (PU) or not. Research shows that the available spectrum is not utilized efficiently. The term cognitive radio (CR) refers to the adoption of radio parameters using the sensed information of the spectrum. Cognitive radio is the way to improve the efficiency of the radio spectrum utilization, which is achieved by CR, finds unused spectrum and allocate to secondary user without interfering to PU. The focus of this paper is on the comparative study of an important spectrum sensing detection methods. In this paper, we have considered four spectrum sensing techniques of transmitter detection: Matched filter detection, Energy detection, and Cyclostationary feature detection and Maximum eigenvalue to minimum eigenvalue ratio detector. Comparative analysis of the four techniques has been carried out in terms of probability of false alarm Pf, probability of detection alarm Pd, and probability of miss detection Pm. Finally by simulation result, the graphical comparison shows that at low signal to noise ratio (SNR), cyclostationary feature detection outperforms other two techniques, thus Cyclostationary have some difficulties like implementation is complex, long observation time, maximum eigenvalue to minimum eigenvalue ration detector methods overcome noise level variation difficulty, and also have the advantages of energy detection method

Keywords: Cognitive Radio System, PU, SNR, Cyclostationary, Detection Alarm, False Alarm.