@inproceedings{ce132e743064472883c89678261bf3ae,
title = "Research on the frequency modulation continuous wave ranging method based on spectral feature matching",
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.",
keywords = "FFT, FMCW, Ranging error, SDR, Time-frequency analysis",
author = "Bingbing Fan and Lixin Xu",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; 2nd Target Recognition and Artificial Intelligence Summit Forum 2019 ; Conference date: 28-08-2019 Through 30-08-2019",
year = "2020",
doi = "10.1117/12.2551426",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Wang Tianran and Chai Tianyou and Fan Huitao and Yu Qifeng",
booktitle = "Second Target Recognition and Artificial Intelligence Summit Forum",
address = "United States",
}