Multi channel approaches for an automotive synthetic aperture radar

Fabian Harrer, Florian Pfeiffer, Andreas Löffler, Thomas Gisder, Christian Buchberger, Erwin Biebl

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationGeMiC 2018 - 2018 German Microwave Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages391-394
Number of pages4
ISBN (Electronic)9783981266887
DOIs
StatePublished - 10 Apr 2018
Event11th German Microwave Conference, GeMiC 2018 - Freiburg, Germany
Duration: 12 Mar 201814 Mar 2018

Publication series

NameGeMiC 2018 - 2018 German Microwave Conference
Volume2018-January

Conference

Conference11th German Microwave Conference, GeMiC 2018
Country/TerritoryGermany
CityFreiburg
Period12/03/1814/03/18

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