Preliminary result of unmanned vehicle MIMO SAR tomography

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

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

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.

源语言英语
主期刊名EUSAR 2021 - 13th European Conference on Synthetic Aperture Radar, Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
1205-1209
页数5
ISBN(电子版)9783800754571
出版状态已出版 - 2021
活动13th European Conference on Synthetic Aperture Radar, EUSAR 2021 - Virtual, Online, 德国
期限: 29 3月 20211 4月 2021

出版系列

姓名Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
2021-March
ISSN(印刷版)2197-4403

会议

会议13th European Conference on Synthetic Aperture Radar, EUSAR 2021
国家/地区德国
Virtual, Online
时期29/03/211/04/21

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