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
2022-01-01
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.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
CV_2022_RadarConf_Residual_Motion_Compensation_in_Automotive_MIMO_SAR_Imaging.pdf
Accesso riservato
Descrizione: Full paper
:
Publisher’s version
Dimensione
2.07 MB
Formato
Adobe PDF
|
2.07 MB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
