ANFIS Technique for Identification of Digitally Modulated Signals

The applications of digitally modulated signals are still in progress and expansion. Automatic Modulation Identification (AMI) is important to classify the digitally modulated signals of arbitrary modulation schemes. AMI is crucial in military applications like electronic surveillance and interference recognition. In civil applications AMI can be employed in Software Defined Radio (SDR) signal monitoring intelligent modems Cognitive Radio (CR) etc. This book therefore provides a new metric of success for classification of the digitally modulated signals: Multi-user Chirp Spread Spectrum (CSS) 2FSK 4FSK 8FSK 2PSK 4PSK 8PSK 16QAM 32QAM 64QAM 128QAM and 256QAM signals using MATLAB. The analysis should help shed some light on digitally modulated signals adaptive neural fuzzy inference system (ANFIS) wavelet transform high order statistics signals classification approaches and should be especially useful to professionals in communications and the newcomers to this field to determine the ability and limitation associated with the ANFIS based digitally modulated signal classification.