DoA Estimation for Automotive FMCW Radar

The workshop provides a structured introduction to direction-of-arrival estimation for automotive FMCW radar. The complete workflow is covered, from phased-array fundamentals and DoA theory to Python-based algorithm simulation and validation using real AWR2243 radar measurements.

A dedicated measurement dataset is included with the workshop, allowing the presented algorithms and processing stages to be reproduced and analyzed using real radar data.

The workshop covers Spatial FFT, Bartlett, Capon/MVDR, MUSIC, and ESPRIT, with practical comparison of their angular resolution, behavior, and implementation aspects.

What You'll Learn

Gain a clear understanding of phased arrays, spatial phase differences, steering vectors, and the principles of direction-of-arrival estimation for automotive FMCW radar.

DoA Fundamentals


Learn how DoA estimation is integrated into the FMCW TDM MIMO processing chain and applied to real AWR2243 measurements using an 8-element virtual ULA. The workshop includes a dedicated radar measurement dataset for reproducing and analyzing the presented processing and validation results.

Real Radar Processing


Learn the principles and Python implementation of Spatial FFT, Bartlett, Capon/MVDR, MUSIC, and ESPRIT, including conventional and super-resolution approaches.

DoA Estimation Algorithms


Compare DoA methods in terms of angular resolution, spectrum characteristics, estimation accuracy, and practical behavior using simulations and real single-target and two-target measurements.

Algorithm Performance

Course Structure

Website Workshop

Extended Workshop

Includes the complete workshop materials with the full set of validation measurements, additional single- and two-target scenarios, broadside and off-boresight cases, processing scripts, and extended algorithm analysis.

Udemy

Light Workshop Edition

Includes the complete theory section and selected AWR2243 validation examples, with one single-target case and one two-target case. Best for learners who want the core DoA workflow in a compact course format.