Research Article

Digital Modulation Identification Model Using Wavelet Transform and Statistical Parameters

Table 5

Comparison of proposed system with existing methods.

FeaturesModelsModulation schemesLower bound SNR (dB)% of identification

Variance of HWT magnitude and normalized HWT magnitudeHong and Ho [14]QPSK, 4FSK, 16QAM597%
Mean and Variance of complex Shannon WT magnitudePavlík [15]BPSK, CPFSK, MSK893.1%
Mean, variance, and correlation coefficient of the received signalLe Guen and Mansour [17]ASK2, ASK4, PSK2, PSK4, FSK2, FSK412Not mentioned
DFT of phase PDFSapiano et al. [18]BPSK, QPSK, 8PSK1092%
Variance of WT magnitudeHo et al. [19]BPSK, QPSK, 8PSK, 2FSK, 4FSK, 8FSK, MSK696%
Fourth- and second-order moments of the received signalMartret and Boiteau [20]QPSK, 16QAM595%
Eighth-order cyclic cumulants of the received signalDobre et al. [21]BPSK, QPSK, 8PSK, 4ASK, 8ASK, 16QAM, 64QAM, 256QAM995%
Histogram peaks in WT magnitude and mean & variance of normalized histogramProposed systemBPSK, QPSK, 8PSK, 16PSK, 2QAM, 4QAM, 8QAM, 16QAM, GMSK, MFSK596.8%