Research on the Frequency Modulation Continuous Wave Ranging Method Based on Spectral Feature Matching

摘要

The near-sensing detection system based on the software-defined radio (SDR) platform is widely used due toits versatility and algorithm reconfigurability. Frequency modulation continuous wave (FMCW) detection hashigh precision and strong anti-interference ability. To solve the problem where the near-sensing detectionsystem has a large fixed error when the modulation frequency deviation is small, a ranging method based onspectral feature matching is proposed in this paper. Compared with traditional algorithms, such as harmonicdetection, zero-padding Fast Fourier Transform (FFT) and beat frequency correction, the proposed algorithmmakes full use of the spectral characteristics of the beat signal. By establishing a spectral feature library ofdifferent distances, a matching evaluation function is given to transform the problem of distance recognitioninto a feature matching problem. The accuracy of the algorithm is verified by comparing the ranging error ofthe feature matching algorithm and other ranging algorithms at different signal-noise ratio (SNR) levels.