Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019)

A Method for Precise Distance and Velocity Measurement of Automotive Radar

Authors
Haitao Yue, Chengfa Xu
Corresponding Author
Chengfa Xu
Available Online May 2019.
DOI
10.2991/cnci-19.2019.4How to use a DOI?
Keywords
FMCW, FFT, quadratic function method, distance and velocity accuracy.
Abstract

When using Fast Fourier Transform (FFT) to perform spectrum analysis on frequency modulated continuous wave (FMCW) radar signals, there are problems of barrier effect and spectral leakage. In order to keep away from barrier effect and improve precision of frequency estimation, we propose a method that apply the quadratic function method (QFM) to radar signal processing. The method quickly locates the maximum position of the spectral amplitude by the quadratic curve. The results of simulation and real data processing show that the method effectively solves the problem of the step effect of the distance and velocity estimation under the premise of only requiring adding a small amount of computations.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019)
Series
Advances in Computer Science Research
Publication Date
May 2019
ISBN
10.2991/cnci-19.2019.4
ISSN
2352-538X
DOI
10.2991/cnci-19.2019.4How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Haitao Yue
AU  - Chengfa Xu
PY  - 2019/05
DA  - 2019/05
TI  - A Method for Precise Distance and Velocity Measurement of Automotive Radar
BT  - Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019)
PB  - Atlantis Press
SP  - 24
EP  - 32
SN  - 2352-538X
UR  - https://doi.org/10.2991/cnci-19.2019.4
DO  - 10.2991/cnci-19.2019.4
ID  - Yue2019/05
ER  -