Estimating 3D displacement vectors from line-of-sight observations with application to MIMO-SAR

Abstract Displacements in typical monitoring applications occur 3D but having sensors capable of measuring such deformations with areal coverage is rare. One way could be to combine three or more line-of-sight measurements carried out from different locations at the same time and derive displacement vectors. Automotive Multiple-Input-Multiple-Output Synthetic Aperture Radar (MIMO-SAR) systems are interest for as they can acquire associated low cost high flexibility. In this paper, we present a set algorithms deriving vectors while applying spatial temporal least squares adjustments. We evaluated on simulated data tested them experimentally acquired MIMO-SAR acquisitions. The results showed that especially parametric non-parametric adjustments worked very well displacements occurring geomonitoring structural (e.g. tilting, bending, oscillating, etc.). simulations were confirmed by an experiment, where corner cube was moved step-wise. show acquisitions off-the-shelf automotive-grade combined accuracy.