Automatic Modulation Classification by Exploiting Cyclostationary Features in Wavelet Domain

In multi-standard wireless communication receivers, automatic modulation classification is critical to blindly demodulate received signal. In this paper, a new method for automatic modulation classification of any received signal has been proposed. The proposed method exploits cyclostationary features of received signal in wavelet domain. Received signal is sampled at estimated symbol rate followed by quantization operation. Next, modulation type is identified from the histogram plot of the features of the received signal. Simulation results in AWGN channel shows the superiority of the proposed approach over existing approaches.