Multi-component linear frequency modulation signal time-frequency analysis method based on regional kernel function

The invention discloses a multi-component linear frequency modulation signal time-frequency analysis method based on a regional kernel function. The method comprises the steps of 1 acquiring a to-be-processed multi-component linear frequency modulation pulse signal; 2 calculating a fuzzy function; 3 detecting a signal self-term in a fuzzy domain and estimating a radial angle of the signal self-term in the fuzzy domain; 4 setting a region function according to the distribution of the signal self-term in the fuzzy domain; 5 multiplying the extended compact kernel function by the regional function to obtain a regional adaptive kernel function; and 6 multiplying the generated regional adaptive kernel function by a signal fuzzy function to obtain a signal after fuzzy domain filtering, and converting the signal after fuzzy domain filtering to a time-frequency domain to obtain a time-frequency analysis result of the signal. The method can effectively suppress cross terms and noise interference, does not weaken the s