Abstract
Synthetic aperture radar (SAR) imaging provides a possibility for a better resolution performance of vehicular millimeter-wave radar in advanced driver-assistance systems (ADAS). Range Migration Algorithm (RMA) is a suitable SAR imaging method for automotive scenes for its ability to compensate near-field differential range echo curvatures. We derivate the RMA implementation algorithms and investigate the accuracy and performance of RMA imaging by processing the real data collected from a 77GHz frequency modulated continuous wave (FMCW) radar. The results demonstrate the feasibility of high-resolution RMA applications for automotive SAR imaging.
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