New video! What benefits can you get out of having a radar system that has the ability to generate multiple beams of various different shapes?
In past Tech Talks, I've talked about the basics of radar and the basics of beamforming. Now, let's put them together and look at some of the ways that digital beamforming has improved radar systems.
How do you figure out where you are in a pitch black room using just a map, a few landmarks, and your knowledge of how you've moved? In this post, we think about that question so that in the next post (next week) I show how we can give a robot this same ability using the particle filter.
Part 5 of my autonomous navigation blog: https://blogs.mathworks.com/autonomous-systems/2023/01/05/intuition-behind-the-particle-filter/
Autonomous Navigation with Brian Douglas: Part 5 This post is from Brian Douglas, YouTube content creator for Control Systems and Autonomous Applications. In the previous post, we learnt what is localization and how the localization problem is formulated for robots and other autonomous systems. For the next two posts, we’re going to reference the localization problem that is demonstrated in the MATLAB example,
The map of control theory is now available in Romanian! You can download a free hi-res version from my website, https://engineeringmedia.com/map-of-control, along with 12 other languages.
A huge thank you to Ancuța MONE and Matei Popescu for providing the translation and reviewing it for typos.
Are you looking for a graphical introduction to beamforming? Well, my latest video has you covered!
Some control humor for you! What kind of bowler are you?
Forrest Brazeal
