TV signal classification using fuzzy inference fusion

This paper proposes a signal classification technique that is able to differentiate between TV signals and other secondary signals that might be using the licensed TV channels. The main contribution of this work is to combine the results of two, existing, sensing algorithms, Energy Detection Method and Correlation Based Method using a Fuzzy Inference Fusion system to decide whether the sensed signal-if any-is a licensed (TV) signal or an unlicensed signal. This work shows capability of signal classification in case of analog TV signal (PAL) and digital TV signal (DVB-T). Performance evaluation of the proposed approach using MATLAB has proven accurate classification capability at relatively low Signal to Noise Ratio.