The invention provides a multi-gear
code rate adaptive
demodulation system and method based on a neural network so as to solve the technical problems of
high complexity of realization of an existing multi-gear
code rate adaptive
demodulation system and large computation amount of a
demodulation method. In the demodulation
system, an ADC sampling module samples an analog modulation
signal; a code element feature point extraction module carries out detection on
phase jump points of the sampled
signal by utilizing a one-dimensional
convolution neural network trained by a neural
network construction module; a
code rate estimation module estimates code rate of the sampled
signal according to the detection result; a signal-to-
noise ratio
estimation module estimates signal-to-
noise ratio of the sampled signal; a controller module selects low-pass filter coefficients and an interpolation structure of a demodulation module according to the code rate
estimation result and the signal-to-
noise ratio
estimation result, and calculates sampling rate conversion ratio of the demodulation module; and finally, the demodulation module carries out demodulation on the sampled signal according to the selected low-pass filter coefficients and the interpolation structure as well as the calculated sampling rate conversion ratio.