SIMULATION OF AUTOCORRELATION METHOD FOR DETECTING A LINEAR-FREQUENCY-MODULATED SIGNAL USING THE PYTHON PROGRAMMING LANGUAGE

This paper discusses the modeling of an autocorrelation method for detecting a linear-frequency-modulated signal using the Python programming language. The spectrum of the chirp signal is formed using the FFT function from the NumPy library. This function performs a fast Fourier transform. Analysis of the difference frequencies between the original and delayed signals as a result of the use of the autocorrelation method allows you to identify the chim signal.