BLIND DETECTION ALGORITHM OF UAV FREQUENCY HOPPING SIGNAL BASED ON ADAPTIVE MORPHOLOGY

The invention discloses a blind detection algorithm of UAV frequency hopping signal based on adaptive morphology, which mainly solves the problem that the detection performance of UAV frequency hopping signal is not high in the actual communication environment where there are interference signals such as fixed frequency, burst, swept frequency, random noise and the like, especially under the condition that the bottom noise fluctuates excessively and the signal-to-noise ratio is low. The method comprises the following steps: 1) based on adaptive morphology image processing, a denoised time-frequency image F1 (m,f)is obtained; 2) extracting image features based on Hough transform to obtain the starting position, ending position and frequency point information TF(m,n,f) of the target UAV frequency hopping signal; 3) according to TF(m,n,f) , completing the extraction of pulse description word of UAV frequency hopping signal. In the complex electromagnetic environment, under the condition that the signal-to-noise ratio is higher than 10dB, the invention can quickly and efficiently extract the pulse description word of UAV frequency hopping signal, provide reliable pulse description word parameters for the subsequent frequency hopping signal analysis, and can be applied to the integrated communication reconnaissance system.