Distributed network wireless spectrum intelligent sensing method based on data judgment

The invention provides a distributed network wireless spectrum intelligent sensing method based on data judgment. The method mainly solves the problem that in the prior art, parameters cannot be accurately estimated in the environment of unmanned aerial vehicle node error information interference and low signal-to-noise ratio. According to the scheme, the method comprises the following steps: comparing an energy mean value of a sampled to-be-detected signal with an energy mean value of a noise signal to obtain a signal-to-noise ratio estimation value; the method comprises the following steps: setting a signal-to-noise ratio threshold, judging and screening out to-be-detected signals of which the signal-to-noise ratio estimated values are smaller than the signal-to-noise ratio threshold by utilizing the threshold, detecting the to-be-detected signals through distributed diffusion cooperative spectrum detection, and removing error node information through an error data judgment model during detection to obtain