Residual Motion Compensation in Automotive MIMO SAR Imaging
Marco Manzoni, Marco Rizzi, Stefano Tebaldini, Andrea, Virgilio Monti-Guarnieri, Claudio Maria Prati, Dario Tagliaferri and, Monica Nicoli, Ivan Russo, Christian Mazzucco, Sergi Duque Biarge, and Umberto Spagnolini
TL;DR
This paper presents a novel motion compensation method for automotive MIMO SAR systems that estimates and corrects trajectory errors, resulting in improved image focus and localization, validated with real 77 GHz data.
Contribution
It introduces an analytical model for vehicle trajectory errors and a motion compensation procedure specifically designed for automotive MIMO SAR imaging.
Findings
Effective correction of constant velocity trajectory errors
Enhanced image focus and localization in automotive SAR
Validated approach with real 77 GHz MIMO SAR data
Abstract
This paper deals with the analysis, estimation, and compensation of trajectory errors in automotive-based Synthetic Aperture Radar (SAR) systems. First of all, we define the geometry of the acquisition and the model of the received signal. We then proceed by analytically evaluating the effect of an error in the vehicle's trajectory. Based on the derived model, we introduce a motion compensation (MoCo) procedure capable of estimating and compensating constant velocity motion errors leading to a well-focused and well-localized SAR image. The procedure is validated using real data gathered by a 77 GHz automotive SAR with MIMO capabilities.
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Taxonomy
TopicsAdvanced SAR Imaging Techniques · Synthetic Aperture Radar (SAR) Applications and Techniques · Sparse and Compressive Sensing Techniques