Improved Velocity Estimation Algorithm for Traffic Surveillance Radar Using Autofocus Technique

DOI

10.2991/rsete.2013.92How to use a DOI?

Keywords

Frequency Modulated Continuous Wave (FMCW), Synthetic Aperture Radar (SAR), Parameter Estimation, Maximum Contrast, Map Drift

Abstract

This paper is about an interesting application of the Frequency Modulated Continuous Wave (FMCW) radar system for the traffic surveillance. By introducing a novel monitoring mode, it is designed to provide synchronously the velocity measurements of all the vehicles within the radar footprint. To achieve a precise estimation of the real speeds of the moving vehicles, a Joint Maximum Contrast and Map Drift (JMCMD) algorithm using the autofocus technique is proposed in this paper. Those autofocus techniques originated from synthetic aperture radar data processing are analyzed and coupled here to form a two-step algorithm. Firstly, the maximum contrast method is used for a coarse estimation to get the rough velocity of the target. Then, the more accurate velocity of the target is obtained by using the map drift algorithm. The simulation results illustrate the errors of the measurement accuracy are less than 1km/h, which satisfy the practical requirements.

Copyright

© 2013, 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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TY  - CONF
AU  - Xu Yanhui
AU  - Li Yong
PY  - 2013/08
DA  - 2013/08
TI  - Improved Velocity Estimation Algorithm for Traffic Surveillance Radar Using Autofocus Technique
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 376
EP  - 379
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.92
DO  - 10.2991/rsete.2013.92
ID  - Yanhui2013/08
ER  -