An Automotive Radar Identifying Closely Arranged Equidistant Targets Having Significantly Different Radar Cross Sections

カテゴリ: 研究会(論文単位)

論文No: CMN23026

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 Identifying Closely Arranged Equidistant Targets Having Significantly Different Radar Cross Sections

著者名: Hamanaka Miu(The College of Engineering, 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): Miu Hamanaka(The College of Engineering, 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|angle estimation|pseudo peak|closely arranged targets|significantly different RCSs|FMCW radar|angle estimation|pseudo peak|closely arranged targets|significantly different RCSs

要約(日本語): This paper focuses on the separation and size identification of closely arranged targets having significantly different radar cross sections (RCS). This environment assumes a standing or walking pedestrian in the vicinity of a truck or large car. The problem is that two closely arranged targets generate one combined pseudo-peak between them due to the insufficient angular resolutions of automotive radars. This paper introduces antenna element spatial pseudo-peak suppression (APPS) to reduce the effect of a pseudo-peak. Simulation and experimental results validate that the proposed APPS-based radar identifies the presence of closely arranged equidistant targets having a relative angle of one degree and significantly different RCS. An experiment result for detecting an actual pedestrian and bicycle further validates the effectiveness of the proposed APPS-based radar.

要約(英語): This paper focuses on the separation and size identification of closely arranged targets having significantly different radar cross sections (RCS). This environment assumes a standing or walking pedestrian in the vicinity of a truck or large car. The problem is that two closely arranged targets generate one combined pseudo-peak between them due to the insufficient angular resolutions of automotive radars. This paper introduces antenna element spatial pseudo-peak suppression (APPS) to reduce the effect of a pseudo-peak. Simulation and experimental results validate that the proposed APPS-based radar identifies the presence of closely arranged equidistant targets having a relative angle of one degree and significantly different RCS. An experiment result for detecting an actual pedestrian and bicycle further validates the effectiveness of the proposed APPS-based radar.

本誌: 2023年3月29日通信研究会

本誌掲載ページ: 29-32 p

原稿種別: 英語

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