The invention discloses a
Verilog-based adaptive time-frequency
aliasing interference identification method and
system. The method comprises the following steps: acquiring a time-frequency
aliasing signal; according to the prior carrier frequency and the sampling frequency of the
target signal, the actual fuzzy frequency is dynamically calculated by using the HOBs-DEC
algorithm; the method comprises the following steps: acquiring a power spectrum of a
signal, identifying the number of effective spectral lines based on an actual fuzzy frequency and a preset threshold, and carrying out first classification on the
signal: if the number of the effective spectral lines is not less than a first threshold, judging that the signal comprises an AM or single-
carrier signal; otherwise, determining that the signal comprises a comb spectrum, MSK or
Gaussian white noise signal; extracting a square spectrum characteristic of the signal, and identifying whether the signal is an AM signal or a single
carrier signal; and extracting single spectrum and / or square spectrum characteristics of the signal, and identifying the signal as a comb spectrum, an MSK signal or a
Gaussian white noise signal. According to the method, the
processing speed of the recognition process can be improved, and the applicability and the stability in an actual scene are enhanced.