Wireless spectrum intelligent sensing method based on multi-unmanned aerial vehicle distribution and LMS

The invention provides a wireless spectrum intelligent sensing method based on multi-unmanned aerial vehicle distribution and LMS (Least Mean Square). The method mainly solves the problems that an existing wireless spectrum sensing technology is large in algorithm calculation amount and slow in parameter estimation. The scheme comprises the following steps: 1) acquiring a to-be-detected signal and a noise signal; 2) comparing the sampled signal to be detected with the energy mean value of the noise signal to obtain a signal-to-noise ratio estimation value; 3) setting a signal-to-noise ratio threshold value, and performing threshold value judgment; 4) selecting a frequency spectrum detection mode of the unmanned aerial vehicle according to a judgment result, and detecting the unmanned aerial vehicle by adopting single-point LMS frequency spectrum detection or distributed diffusion cooperative frequency spectrum detection to obtain a detection result; and 5) utilizing the idle spectrum in the signal to be detec