Multi Channel Approaches for an Automotive Synthetic Aperture Radar

被引：0

作者：

Harrer, Fabian ^{[1
]}

Pfeiffer, Florian ^{[1
]}

Loeffler, Andreas ^{[2
]}

Gisder, Thomas ^{[3
]}

Buchberger, Christian ^{[4
]}

Biebl, Erwin ^{[4
]}

机构：

[1] Perisens GmbH, Garching, Germany

[2] ADC Automot Distance Control Syst GmbH, Lindau, Germany

[3] Konzernforschu Fahrerassistenz & Integrierte Sich, Volkswagen Aktiengesell, Wolfsburg, Germany

[4] Tech Univ Munich, Munich, Germany

来源：

2018 11TH GERMAN MICROWAVE CONFERENCE (GEMIC 2018) | 2018年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents approaches which improve Synthetic Aperture Radar (SAR) images for automotive applications with the use of digital beamforming preprocessing of the multi channel radar data. The classical SAR modes stripmap, spotlight and squinted SAR are implemented. Additionally, the displaced phase center method is applied. The classical beamforming approach for an uniform linear array is described. Finally, the different SAR modes are presented and their improvement on the image is demonstrated using measurements of a parking lot scenario. The focus of this paper is on the better recognition of surfaces that are not directly illuminated by the radar main beam.

引用

页码：391 / 394

页数：4

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