Preliminary Result of Unmanned Vehicle MIMO SAR Tomography
Konferenz: EUSAR 2021 - 13th European Conference on Synthetic Aperture Radar
29.03.2021 - 01.04.2021 in online
Tagungsband: EUSAR 2021
Seiten: 5Sprache: EnglischTyp: PDF
Autoren:
Li, Linghao; Liu, Minkun; Li, Gen; Wang, Guanxing (School of Information and Electronics, Beijing Institute of Technology, Beijing, China & Beijing Key Laboratory of Embedded Real-Time Information Processing Technology, Beijing, China)
Wang, Yan; Ding, Zegang (School of Information and Electronics, Beijing Institute of Technology, Beijing, China & Beijing Key Laboratory of Embedded Real-Time Information Processing Technology, Beijing, China & Beijing Institute of Technology of Chongqing Innovation Center, Chongqing, China)
Inhalt:
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.