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.
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
really good video , how i can connect multiple receivers antenna from one single software ? Probability this is basic questions but i don't now because if we connect more by 2 antenna in one receiver i have just noise
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?
It bothers me that this displays IQ signals somehow being a real physical phenomenon instead of an artifact of the downmixing process. Real radio waves are... real, not complex.
I love it when a person can take complex concepts and explain them in easy-to-understand terms. You gained a subscriber
How this amazing series has very few views is beyond me!
probably because it's still new.
Great job, thanks a lot!
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.
Exquisite video!👍
Thank you so much for the amazing video!! This help my research a lot!!!!!!!!!! Thank you~~~~
This video is just so amazing!
Excellent topic. Really appreciate.
Glad you liked it!
Thanks! I'm glad you liked it.
@@BrianBDouglas trying to connect with you on LinkedIn.
Absolutely fabulous vedio
Very good video!
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
Nicely explained 👍
really good video , how i can connect multiple receivers antenna from one single software ? Probability this is basic questions but i don't now because if we connect more by 2 antenna in one receiver i have just noise
Okay i am going to copy this code ..... But Thank You for using this way of teaching
Hos did you calculate FFT at 12:00, for Amplitude vs Sine(theta) graph?
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?
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
You need to transform your IQ signal to a complex base band signal and after that, you can do your complex FFT.
Can we get the example in minute 10? the IQ plot for each transmitter?
can anyone please explain how he got these graphics and controlling elements in matlab
What app you use to make the animation / presentation? Thank you
Hi can you share the app code, I am trying to calculate the FFT as you calculated, but failing.
It bothers me that this displays IQ signals somehow being a real physical phenomenon instead of an artifact of the downmixing process. Real radio waves are... real, not complex.
@@evgenyborodin137 And you can't have a phase difference without a reference oscillator. The signal coming from the antenna is real valued.
„Objex“? „horry zonnal“? "inner cept"? "inner ference"? "da dah"? Dialect hard to understand.