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Table 4 Classification accuracy of each modulation type (SNRte=SNRtr)

From: A robust modulation classification method using convolutional neural networks

Type

M-ASK

M-FSK

M-PSK

M-QAM

OFDM

LFM

MSK

Total

SNRte

2

4

8

2

4

8

2

4

8

4

16

64

    

− 10

0.950

0.553

0.650

1.0

1.0

0.997

1.0

0.956

0.907

0.999

0.726

0.802

0.985

1.0

1.0

0.9017

− 8

0.979

0.579

0.670

1.0

1.0

0.997

1.0

0.997

0.953

1.0

0.845

0.848

1.0

1.0

1.0

0.9245

− 6

0.997

0.632

0.712

1.0

1.0

0.999

1.0

0.998

0.991

1.0

0.939

0.886

1.0

1.0

1.0

0.9436

− 4

1.0

0.762

0.791

1.0

1.0

1.0

1.0

1.0

0.993

1.0

0.98

0.957

1.0

1.0

1.0

0.9653

− 2

1.0

0.881

0.917

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

0.990

1.0

1.0

1.0

0.9859

0

1.0

0.972

0.972

1.0

1.0

1.0

1.0

0.999

1.0

1.0

1.0

1.0

1.0

1.0

1.0

0.9962

2

1.0

0.992

0.985

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

0.9984

5

1.0

1.0

0.997

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

0.9998

10

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

15

1.0

1.0

0.998

1.0

1.0

0.999

1.0

1.0

0.999

1.0

1.0

1.0

1.0

0.996

1.0

0.9995

20

1.0

1.0

0.999

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

0.996

1.0

0.9999