Preliminary result of unmanned vehicle MIMO SAR tomography

Linghao Li, Yan Wang*, Zegang Ding, Minkun Liu, Gen Li, Guanxing Wang

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Unmanned vehicle (UV) multiple-input multiple-output (MIMO) SAR tomography can provide 3-D radar image of the target flexibly and cheaply without layover and geometric distortion effects. However, UV MIMO SAR tomography is confronted with the problems of channel errors, motion errors, and variation of scattering characteristics between 2-D images. In this paper, the successful 3-D imaging experiment of UV MIMO SAR tomography is demonstrated. First, we introduce the model of UV MIMO SAR imaging and propose our UV MIMO SAR processing method. Then, we show the 3-D imaging results using real data from our MIMO SAR mounted on a crawler-type UV.

Original languageEnglish
Title of host publicationEUSAR 2021 - 13th European Conference on Synthetic Aperture Radar, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1205-1209
Number of pages5
ISBN (Electronic)9783800754571
Publication statusPublished - 2021
Event13th European Conference on Synthetic Aperture Radar, EUSAR 2021 - Virtual, Online, Germany
Duration: 29 Mar 20211 Apr 2021

Publication series

NameProceedings of the European Conference on Synthetic Aperture Radar, EUSAR
Volume2021-March
ISSN (Print)2197-4403

Conference

Conference13th European Conference on Synthetic Aperture Radar, EUSAR 2021
Country/TerritoryGermany
CityVirtual, Online
Period29/03/211/04/21

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