Automatic digital modulation recognition using minimum feature extraction

Auto modulation recognition schemes of digitally modulated signal plays a vital role in both military and civil applications like software defined radio, electronic warfare, cognitive radio systems, radio spectrum management, threat analysis and electronic surveillance. In this paper we proposed a new algorithm to distinguish between 6 digital modulation schemes (ASK-2, FSK-2, PSK-2, ASK-4, FSK-4, and PSK-4). Simulation results show that the overall recognition of the new algorithms is of 98.8% when the signal to noise ratio (SNR) = 4dB. The new methodology uses only 3 key parameters to distinguish between digital modulated signals and hence reduces the computational loads and improves the performance.