Research Article

[Retracted] Artificial Bee Colony Based Gabor Parameters Optimizer (ABC-GPO) for Modulation Classification

Table 4

Comparison with the existing techniques.

Method and referenceNumber of modulationClassification accuracy in % at SNR = 10 dBNo. of features

Pdf of the received signal, zero crossing [32]PSK, FSK (7)98 (15 dB of SNR)4
Spectral features [33]PSK, FSK (6)905
Spectral features and moments [34]PSK, FSK (9)96 (15 dB of SNR9
Constellation shape [35]PSK, QAM (3)90 (5 dB of SNR4
HOC [36]PSK, QAM (8)962
Neural networks [37]PSK, FSK, QAM (7)93 (8 dB of SNR)5
Back propagation (BP) algo., resilient BP algo [26]PSK, FSK, QAM (10)89.96, 99.9517
Time frequency features [29]FSK, PSK (6)97.644
Normalized cummulants [28]PSK, QAM (5)97.51
Cummulants features, multiclass SVM [25]PSK, QAM (9)97.5612
Spectral features and moments [30]FSK, QAM (12)99.958
HOC and spectral features, multiclass SVM [27]PSK, QAM, FSK (11)97.4511
Gabor filter based features [31]PSK, FSK, QAM (18)1003
HOC and SVM [38]QAM (6)98.7 (5 dB of SNR)11
HOC and polynomial classifier [39]PSK (5)9810
Proposed optimized classifierPSK, FSK, QAM (13)100 (8 dB of SNR)3