Preliminary Result of Unmanned Vehicle MIMO SAR Tomography

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.