Comparative Study of Spectrum Sensing for Cognitive Radio System Using Energy Detection and Matched Filter Detection Techniques

The key component of Cognitive Radio technology (CR) is spectrum sensing. The characteristic of CR system is sensing the electromagnetic environment to adapt their operation for better radio operating parameters. One of the challenges for CR is to detect the primary users present over the spectrum. This paper presents the performance analysis of energy detection and matched filter detection based spectrum sensing .Also highlights the effect of different parameters like number of samples, signal to noise ratio and noise uncertainty on the probability of detection and probability of false alarm for both cases of energy detection and matched filter detection. Moreover apply comparison between the two methods using the simulation technique. The obtained results are plotted using MATLAB Software.