The application relates to a high-resolution
processing method of
borehole radar data based on mixed time-
frequency analysis, which comprises the following steps: constructing discrete frequencies based on the scale resolution of
borehole radar data; performing Hilbert transform on the
borehole radar data to generate an analytical
signal; filtering the
signal, reconstructing the
signal, and then obtaining weighted energy of different frequency bands, and finally outputting data processed by high-resolution
processing. The application realizes dynamic weighting through low-frequency and high-
frequency weighting factors, flexibly enhances or suppresses low-frequency / high-frequency components; through envelope normalization,
pulse noise is suppressed, and the signal-to-
noise ratio is improved; through conjugate symmetric padding, the original phase information is preserved when filtering in the
frequency domain, signal
distortion is avoided, and the time positioning accuracy can be maintained in time-
frequency analysis; through different
frequency band energy weighting
processing, high and
low frequency joint analysis is realized, the high and low frequencies are simultaneously widened, and high-resolution amplitude-preserving processing is realized.