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DCA1000EVM: AWR1243 BOOST TESTING SUPPORT

Harish achar
Prodigy 80 points
Part Number: DCA1000EVM
Other Parts Discussed in Thread: AWR1243, AWR1243BOOST

Hi there,

I am using AWR1243 booster board with DCA1000EVM. I have some queries related to it.

1. Can we process the data from AWR1243 in DCA1000EVM FPGA chip and calculate the distance of the object?

2. Why higher version of windows OS recommended for studio software?

Best regards,

Harish

  • 0
    TI__Mastermind 31680 points

    Hello Harish,

    1. Yes, you can do that. It is based on the signal processing algorithm you implement to process the received RAW ADC from AWR1243 over LVDS/CSI-2 interface.

    You can either use mmwave-studio+DCA1000+AWR1243BOOST to do this experiment where it stores the raw ADC data on PC which later can be processed via mmWave-Studio based Matlab scripts or you can use own scripts.

    2. We recommend using windows 10, but windows 7 can also be used. There is just some text overlapping seen in case of windows 7.

    Regards,

    Ishita 

  • 0 in reply to Ishita Kochar
    Prodigy 80 points

    Hello Ishita,

    Thank you for the reply. 

    Is it possible to process the AWR1243 data in FPGA chip available in DCA1000EVM board? 

    Is it possible to make the decision of obstacle detection without the studio/PC?

    Best regards,

    Harish

  • 0 in reply to Harish achar
    TI__Mastermind 31680 points

    Hello Harish,

    Sorry for the late reply.

    As you might know, AWR1243 is a sensor only platform that captures the radar signal. There is no processing that happens inside the sensor. So, the AWR1243 can't make the detection decisions. The AWR1243 sensor sends that data to a host that makes the decision. 

    You can implement your own post processing algorithms using MATLAB or any other scripting for this purpose, but you will have to use PC/Studio.

    Also, DCA1000 is just a capture card for interfacing with the AWR device that enables users to stream the ADC data over Ethernet.

    Regards,

    Ishita