How do automotive (FMCW) RADARs measure velocity? скачать в хорошем качестве

How do automotive (FMCW) RADARs measure velocity?

FMCW radars provide an excellent method for estimating range information of targets... but what about velocity? The velocity of a target is often obtained using the Doppler frequency shift it incurs. This gets more challenging once you start using frequency information to determine range because it is ambiguous whether the frequency shift is due to the range or velocity. In this video I introduce two methods for dealing with this issue and provide a python notebook to play around with the methods yourself. -------------------------------------------------- Channel Memberships: https://marshallbruner.com/pages/supp... Merch: https://marshallbruner.com/collection... Website: https://marshallbruner.com/ -------------------------------------------------- Resources: Interactive python notebook for Range-Doppler processing (fmcw_range_doppler.ipynb) - https://tinyurl.com/doppler-notebook Interactive python notebook showing how to use the Fast Fourier Transform (fft.ipynb) - https://tinyurl.com/fft-notebook All code for this video - https://tinyurl.com/github-videos -------------------------------------------------- References: Small and short range radar systems (book by Gregory Charvat, p288-291) - https://tinyurl.com/charvat-srr-book FMCW Radar Part 2 – Velocity, Angle and Radar Data Cube (Wireless Pi) - https://tinyurl.com/wirelees-pi-doppler Texas Instruments Automotive Radar Chip (AWR1642) - https://tinyurl.com/awr1642 FMCW Chirp Configuration for Short, Medium, and Long-Range Radar (MWRF) - https://tinyurl.com/mwrf-chirp RadarSimX simulation of the range-Doppler spectrum - https://tinyurl.com/radarsimx-doppler --------------------------------------------------- Caveats: The "stop-and-hop" assumption is made that assumes the target with a non-zero velocity doesn't move during the chirp duration, then moves by v * T_c by the next chirp. This is not perfectly accurate, but is fine for many cases. -------------------------------------------------- All animations shown were created using Manim Community (https://docs.manim.community/en/stabl...) - a Python animation library written by 3Blue1Brown (   / @3blue1brown  ) and maintained by the community. Huge thanks to everyone working on this incredible project! -------------------------------------------------- Timestamps: 0:00 - Why is velocity difficult in FMCW radar? 1:25 - Triangular Modulation 4:06 - The problem with Triangular Modulation 4:47 - Range-Doppler Spectrum