Paper Abstract and Keywords |
Presentation |
2019-01-24 15:40
Experimental Performance Evaluation of Automotive FMCW Radar using Iterative Interference Suppression Technique in Inter-radar Interference Environments Takeo Okuda, Yuya Makino, Masahiro Umehira, Xiaoyan Wang, Shigeki Takeda (Ibaraki Univ), Hiroshi Kuroda (Hitachi Automotive Systems) SANE2018-96 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Millimeter-wave FMCW (Frequency Modulated Continuous Wave) radar is a promising alternative as an automotive sensor for ADAS (Advanced Driver Assistance System) and automatic driving car since it can detect the relative distance and speed of the target simultaneously and has better performance in rainy, foggy, dark or harsh environments. As the number of vehicles equipped with automotive radars is expected to increase and to be densely used in near future, inter-radar interference will be a crucial problem since inter-radar interference can cause miss-detection and/or false detection of the target. In order to solve this problem, the authors have proposed iterative interference suppression technique which can adaptably set the threshold for interference detection. This report describes proto-type development of FMCW radar using the proposed technique in order to confirm the effectiveness, we have developed anti-collision FMCW radar using the proposed iterative interference suppression technique and shows the experimental performance evaluation results in inter-radar interference environments. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
millimeter-wave / FMCW radar / inter-radar interference / interference suppression / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 418, SANE2018-96, pp. 35-40, Jan. 2019. |
Paper # |
SANE2018-96 |
Date of Issue |
2019-01-17 (SANE) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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SANE2018-96 |
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