Unmanned aerial vehicle weak signal detection and extraction method, system and device, medium and terminal

The invention belongs to the technical field of unmanned aerial vehicle signal processing, and discloses a civil unmanned aerial vehicle weak signal detection and extraction method based on a time-frequency double-envelope characteristic, and the method comprises the steps: carrying out the time-frequency transformation of a filtering signal through adaptive time-domain window width measurement, a time-frequency energy double-envelope curve is extracted; the pulse signals are separated and extracted by using a pulse detection and extraction method based on a time-frequency double-envelope characteristic curve, a normalized time-frequency double-envelope characteristic curve double-threshold calculation method and a time-domain scale scaling separation pulse signal processing method. The detection and separation of the pulse signals of the unmanned aerial vehicle in a complex electromagnetic environment are realized by intercepting weak image transmission signals and remote control signals of the unmanned aeri