An Automotive Radar Enabling Angle Estimation and Characteri-zation of the Targets Having Significantly Different Radar Cross Sections

カテゴリ: 研究会(論文単位)

論文No: CMN23025

グループ名: 【C】電子・情報・システム部門 通信研究会

発行日: 2023/03/26

タイトル(英語): An Automotive Radar Enabling Angle Estimation and Characteri-zation of the Targets Having Significantly Different Radar Cross Sections

著者名: Hishiki Katsuhiro(Ibaraki University),Sun Ran(The College of Engineering, Ibaraki University),Takeda Shigeki(The College of Engineering, Ibaraki University),Kuroda Hiroshi(Hitachi Astemo, Ltd., Japan)

著者名(英語): Katsuhiro Hishiki(Ibaraki University),Ran Sun(The College of Engineering, Ibaraki University),Shigeki Takeda(The College of Engineering, Ibaraki University),Hiroshi Kuroda(Hitachi Astemo, Ltd., Japan)

キーワード: FMCW radar|ADAS|Autonomous driving|angle estimation|targets having different radar cross sections|FMCW radar|ADAS|Autonomous driving|angle estimation|targets having different radar cross sections

要約(日本語): This paper proposes a method to improve the angle estimation accuracy for multiple targets having significantly different radar cross sections (RCSs) in automotive millimeter-wave radar based on frequency-modulated continuous wave (FMCW) and fast chirp modulation (FCM) techniques. The proposed radar introduces an antenna element space interference can-cellation (AIC) method enabling the discrimination of the different RCS targets. For establishing reliable target detection on the road, the automotive radars need to identify the various sizes of targets, including trucks, cars, bikes, bicycles, pedestrians, animals, and other obstacles. The large targets affect the small targets through the sidelobes in the radiation pattern of an antenna array, degrading small target detection and its angle estimation. The AIC method enables reducing the coupling effects between the targets. Experiments on angle measurements for three different RCS targets validated the effectiveness of the AIC method. A radar evaluation board used in the experiments consists of a single-chip millimeter wave FMCW radar integrated circuit (IC) and printed 3 Tx and 4 Rx MIMO radar antennas.

要約(英語): This paper proposes a method to improve the angle estimation accuracy for multiple targets having significantly different radar cross sections (RCSs) in automotive millimeter-wave radar based on frequency-modulated continuous wave (FMCW) and fast chirp modulation (FCM) techniques. The proposed radar introduces an antenna element space interference can-cellation (AIC) method enabling the discrimination of the different RCS targets. For establishing reliable target detection on the road, the automotive radars need to identify the various sizes of targets, including trucks, cars, bikes, bicycles, pedestrians, animals, and other obstacles. The large targets affect the small targets through the sidelobes in the radiation pattern of an antenna array, degrading small target detection and its angle estimation. The AIC method enables reducing the coupling effects between the targets. Experiments on angle measurements for three different RCS targets validated the effectiveness of the AIC method. A radar evaluation board used in the experiments consists of a single-chip millimeter wave FMCW radar integrated circuit (IC) and printed 3 Tx and 4 Rx MIMO radar antennas.

本誌: 2023年3月29日通信研究会

本誌掲載ページ: 25-28 p

原稿種別: 英語

PDFファイルサイズ: 2,230 Kバイト