Channel Estimation for FMCW Radar with Sparse Bayesian Learning

Automotive Millimeter-wave (mmWave) radar is an essential part of Advanced Driver Assistance Systems (ADAS), with fast-developing applications. Knowledge of the mmWave propagation channel characteristics is essential for designing a robust and reliable automotive radar system. In this contribution the Frequency Modulated Continuous-Wave (FMCW) Radar propagation channel is measured in laboratory conditions. Sparse Bayesian Learning (SBL) is used for post-processing of the obtained measurement data.