Method for classifying digital modulation signal in cognitive network
A digital modulation signal and classification method technology, applied in the field of cognitive radio, can solve the problem that the accuracy of digital modulation signal classification needs to be improved
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[0028] figure 1 It is a functional block diagram of a specific embodiment of the method for classifying digital modulation signals in the cognitive network of the present invention.
[0029] In this example, if figure 1 As shown, the digital modulation signal is transmitted to the receiver through the channel. The channel model adopts two channel models of Gaussian channel or Rayleigh channel, and the received digital modulation signal is x(t).
[0030] For the received digital modulation signal x(t)=A(t) s(t)+n(t), where s(t) is the source signal, that is, the digital modulation signal of the sender, A(t) is determined by the channel The model determines that n(t) is the noise
[0031] a1. Gaussian channel model
[0032] Under the Gaussian model, A(t) is a constant, n(t) is a function subject to Gaussian distribution, and the signal-to-noise ratio determines its value.
[0033] a2. Rayleigh channel model
[0034] For Rayleigh fading channel, then for sampling point s i ...
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