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AWR2243: How ADC sampling time shall be computed in regrards to RF internals ?

Part Number: AWR2243

Hi,

I'm using AWR2243 and for computing ramp end time it requires to compute as well how long the ADC sampling time will last.

But I wonder how the sampling is being designed into the RF chips, does the first ADC samples being sampled at t = 0 or is it t = 1/fs ?

Depending on how RF chips do sampling it means sampling time shall be either computed as:

ADCSamplingTime = NSamples / fs

or

ADCSamplingTime = (NSamples-1) / fs

Best regards,

Brandon.

  • Hi Brandon,

    You can configure the ADC start time, number of ADC samples to be collected and the sampling rate as well. So that will give you the total time it will take to collect all the samples. Based on these calculations you can calculate the ramp end time. 

    The Below app note describes the parameters required for chirp generation and will provide more information to you.

    Programming Chirp Parameters in TI Radar Devices (Rev. A)

    Also you can use the 

    MMWAVE-DFP-2G  mmWave device firmware package (DFP) for 2nd-generation AWR2243 parts

    which has the RampTimingCalculator which will help you in your calculations.

    Thanks,

    Pradipta.

  • Hi,

    I do understand about how to configure RF chips and already did it.
    My question is more about how RF chips internally consider first sample since it might be also a bug present in RampTimingCalculator.

    I already checked in RampTimingCalculator and it seems that first assumption is the one used but I requested a confirmation since a delta in how to compute total time would lead to a constant bandwidth offset proportional to sample rate.

    If RampTimingCalculator also made the wrong assumption it would hide the bug that's why I asked the question.

    Best regards,

    Brandon.

  • Hi,

    Can you provide more details on the bug that might be there in the ramp timing calculator as per you. Also can you provide more details on your question so that we can understand it better?

    Thanks,

    Pradipta.