Measuring Angles with FMCW Radar | Understanding Radar Principles

Learn how multiple antennas are used to determine the azimuth and elevation of an object using Frequency Modulated Continuous Wave (FMCW) radar.
By looking at the phase shift between the received signals of more than one antenna, the direction to an object can be determined. The accuracy of this measurement depends on the signal-to-noise ratio (SNR) of the radar system. Increasing the number of elements in the antenna array increases the angular resolution of the radar. With multiple transmit and receive antennas, a virtual array can be created which can produce the same resolution with fewer overall antenna elements.
Watch our full video series on Understanding Radar Principles:
• Understanding Radar Pr...
Check out these other links:
- MIMO Radar: TI Application Report: bit.ly/3NSDi9V
- Algorithms to Antenna: Increasing Angular Resolution Using MIMO Radar: bit.ly/3MLuG3n
- Radar Angular Resolution: bit.ly/3tuDLXF
- MATLAB Example - Increasing Angular Resolution with Virtual Arrays: bit.ly/3MP28pP
- Free video course in Radar Systems Engineering: bit.ly/3Qpb2xo
- Radar Tutorial (English): bit.ly/3N3n1Oh
- Want to see all the references in a nice, organized list? Check out this journey on Resourcium: bit.ly/3NSD82j
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[@dirkl9652]

I love it when a person can take complex concepts and explain them in easy-to-understand terms. You gained a subscriber

[@mohamedaboelenein7727]

How this amazing series has very few views is beyond me!
probably because it's still new.
Great job, thanks a lot!

[@jamesdash3163]

if there are more than one object, you get velocity and range of each object by FM, you also get angles of each object by angle FFT, but how can I know which angle correspond to which (velocity, distance) of the object

[@vamsikrishna219]

Nicely explained 👍

[@PabloA64]

Exquisite video!👍

[@viniciusfriasaleite8016]

Very good video!

[@user-hy4nq1ix2z]

Thank you so much for the amazing video!! This help my research a lot!!!!!!!!!! Thank you~~~~

[@saqlainahmed4197]

Absolutely fabulous vedio

[@emadibnalyaman8073]

Can we get the example in minute 10? the IQ plot for each transmitter?

[@Abhishek-lz5uy]

Excellent topic. Really appreciate.

[@MATLAB]

Glad you liked it!

[@BrianBDouglas]

Thanks! I'm glad you liked it.

[@Abhishek-lz5uy]

@@BrianBDouglas trying to connect with you on LinkedIn.

[@TheHarpanOnly]

What app you use to make the animation / presentation? Thank you

[@usmanarif489]

Hos did you calculate FFT at 12:00, for Amplitude vs Sine(theta) graph?

[@sebastianluscher2559]

Thanks for that visualization. It helped me to understand the angle measuring.
But I think you explained it a little too simple. At 11:00 in the top right chart, you show the "discrete" IQ values. If we have discrete values we can't do an FFT. We have to do an discrete fourier transformation (DFT). The results are also discrete so we can't see the continous SI-Funktion as you show in the bottom right chart. And here we are at the main point, the SI-Funktion is discret and the discrete values may not match with the peak of the SI-Funktion. A way to solve that is zero padding, where you add additional zero values to the DFT to display a more precise spectrum.

[@AshutoshSharma-xb9ku]

Okay i am going to copy this code ..... But Thank You for using this way of teaching

[@SORRYgemio]

Thank you for the great explanation.
I hope you don't mind answering a question. At 10:00, should I take the FFT of the I and Q separately since each forms a sinusoid? And in that case, either I or Q can be used. Or should I take an FFT of the complex number of I and Q together?

[@DonJuke]

I would assume you would have to use both since the whole point of using IQ signals is to gather the phase component between the two signals

[@lilprozen2]

You need to transform your IQ signal to a complex base band signal and after that, you can do your complex FFT.

[@usmanarif489]

Hi can you share the app code, I am trying to calculate the FFT as you calculated, but failing.

[@sonuanirudhanv782]

can anyone please explain how he got these graphics and controlling elements in matlab

[@besserschreiben9481]

„Objex“? „horry zonnal“? "inner cept"? "inner ference"? "da dah"? Dialect hard to understand.