Research on the frequency modulation continuous wave ranging method based on spectral feature matching

Bingbing Fan; Lixin Xu

doi:10.1117/12.2551426

31 January 2020 Research on the frequency modulation continuous wave ranging method based on spectral feature matching

Bingbing Fan, Lixin Xu

Proceedings Volume 11427, Second Target Recognition and Artificial Intelligence Summit Forum; 1142719 (2020) https://doi.org/10.1117/12.2551426
Event: Second Target Recognition and Artificial Intelligence Summit Forum, 2019, Changchun, China

Abstract

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

Citation Download Citation

Bingbing Fan and Lixin Xu "Research on the frequency modulation continuous wave ranging method based on spectral feature matching", Proc. SPIE 11427, Second Target Recognition and Artificial Intelligence Summit Forum, 1142719 (31 January 2020); https://doi.org/10.1117/12.2551426

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