Analysis of Sweep Frequency Signal Based on Fourier Transform

This study aims to explore the application of frequency sweep signal analysis based on discrete Fourier transform in complex environments, in order to improve the accuracy and reliability of signals. Firstly, the significance and application of discrete Fourier transform in signal processing are elucidated. Subsequently, the properties of frequency sweep signals and the challenges they bring in practical scenarios are introduced in detail. Given the complexity of frequency sweep signals, a method based on discrete Fourier transform is proposed. By converting the signal to the frequency domain for spectral analysis, this method can identify the frequency components and energy distribution in the swept frequency signal, thereby promoting accurate analysis and processing of the swept frequency signal. The experimental results show that the use of discrete Fourier transform for frequency sweep signal analysis can effectively extract signal features, reduce noise signal interference, and provide strong support for signal processing and recognition. Therefore, this method has great application prospects in various fields such as communication, radar, and medicine.