The invention discloses a communication electronic
signal anti-interference optimization method,
system and device, and the method comprises the steps: S1, collecting the multi-dimensional feature information of an expected
signal in real time in a
signal transmission process, and enabling the multi-dimensional feature information to comprise a frequency feature, a phase feature and an amplitude feature; s2, dynamically generating a calibration signal according to the collected multi-dimensional feature information, and superposing the calibration signal into an expected signal; s3, at a receiving
station, through a self-adaptive feedback adjustment mechanism, according to the real-time characteristics of the received noisy signal, generating a reverse-phase superposition calibration signal and feeding the reverse-phase superposition calibration signal to a channel; s4, performing denoising
processing on the noisy signal by using an intelligent denoising model based on
deep learning; the method has the beneficial effects that the multi-dimensional feature information of the expected signal is collected in real time, the calibration signal is dynamically generated, and the precise reverse-phase superposition calibration signal is generated in combination with a self-adaptive feedback adjustment mechanism, so that various interferences in a complex communication environment are effectively counteracted.