Sensors Forum Discussions

Hi,

I'm looking for a way to properly perform the BGT60TR13C sensor re-initialization procedure.

Regarding the example in the link: https://github.com/Infineon/sensor-xensiv-bgt60trxx

In case, if the xensiv_bgt60trxx_get_fifo_data function returns status = XENSIV_BGT60TRXX_STATUS_GSR0_ERROR

What should I do to re-init the radar sensor?

Actually, I have tried to read the FIFO for a long time (A few days) without any problem. But just want to handle if any problems appear when reading the FIFO data.

I have tried restarting the LDO power and then call 3 below functions to re-init the sensor but it does not working.

Could you point me how to re-init the sensor if the xensiv_bgt60trxx_get_fifo_data function returns errors?

Thanks!

I am using BGT60LTR11SAIP with XMC4500. I can adjust the detection threshold from 66 through 2560, which corresponds to approximately 0.5 meters to 7 meters. Is there any information regarding the detection range corresponding to each value?

And when I approach my hand very slowly towards the sensor, it fails to detect the movement. Is there any relationship between the speed of the object and detection? If yes, what are they?

When could I expect no motion behavior? I mean, how long should an object be immobile to trigger the no-motion state,the sensor timeout?

Hello,

I'd like to know the BGT60LTR11AIP Receiver Conversion Gain, plase let me know where is that description.

Best Regards,
Nakamura

Hi,

I am using the BGT60TR13C  for vital sign extraction and I saw in other questions in the forum that the BGT60TR13C only outputs the I signal of the radar.

I tried to use the progression of each complex frequency component over time (chirp-to-chirp) as an IQ signal for each frequency component, as you suggested. But it is not working and I cannot extract meaningful information. For comparison, I did manage to extract specifically respiration rate using only the amplitude data in the output.

I would like your help to better understand how to extract phase from the output data and detect small vibrations.

Thank you!