Opportunistic Spectrum Sensing by Employing Matched Filter in Cognitive Radio Network

The sophistication possible in a software defined radio has now reached a level where each radio can conceivably perform many beneficial tasks that help the user and network. It can also minimize the spectral congestion. If a radio could use favourable frequencies and choose waveforms that would minimize and avoid interference with existing radio communication systems, it would be an ideal software defined radio or in general sense cognitive radio which has all the properties of software defined radio along with the property of artificial intelligence. The presented paper is underpinning on the spectrum sensing, which is performed by implementing matched filter and is supported along with the simulation results.