The invention provides a multi-means fusion unmanned aerial vehicle countering method and
system, and the method comprises the steps: obtaining three-dimensional topographic data, atmospheric turbulence features and
electromagnetic spectrum features in real time through deploying a distributed sensing array in a target region, constructing a multi-layer virtual
signal barrier boundary, and generating a
frequency band interference parameter set; when it is detected that the unmanned aerial vehicle passes through the barrier boundary, the cooperative interference module is triggered to generate an initial interference
signal weight, polarization direction distribution and
power density distribution are dynamically corrected in combination with electromagnetic scattering characteristics fed back by the unmanned aerial vehicle in real time, and the initial interference
signal weight serves as flight path modeling input and is used for generating a three-dimensional dynamic flight path model; according to the method, the
azimuth angle correction, the
elevation angle compensation coefficient and the
energy gradient parameter of the ground interception equipment are calculated, and then the dynamic interception strategy is generated through the dynamic strategy fuser, so that the interference and interception efficiency of the unmanned aerial vehicle is improved through fusion and dynamic closed-
loop control of excessive means, and the full-link
closed loop from
environmental perception to interception control is realized.