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 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.

Residual Motion Compensation in Automotive MIMO SAR Imaging

Manzoni, M;Rizzi, M;Tebaldini, S;Monti-Guarnieri, AV;Prati, CM;Tagliaferri, D;Nicoli, M;Spagnolini, U
2022

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 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.
2022 IEEE Radar Conference (RadarConf22)
Autofocus
MoCo
Automotive
SAR
MIMO
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1221507
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