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IWR1443BOOST: Parameters for power lines detection

Part Number: IWR1443BOOST
Other Parts Discussed in Thread: IWR1443, MMWAVE-STUDIO, IWR1642, MMWAVE-SDK

Hi, 

I want to detect the power lines. When you detected the power lines at http://www.ti.com/lit/SPYY001 , what criteria did you set when setting the parameters as below?

Parameter | Value
Start Freq 77GHz
Freq Slope 33MHz/us
Sampling rate 10MHz
ADC samples_3.3G 1000

Number of adc samples: 1000
Number of chirps:32

Does setting the parameter detect only the power lines? 

 
Did you use mmwave sdk demo 14xx in white paper?

thanks

Hyunsik

  • Hi Hyunsik,

    The chirp configuration provided in the Whitepaper was used for the power line detection use case. The mmwave SDK demo was not used for this demonstration. For this demonstration, raw ADC data was collected from the IWR1443 EVM using TI MMWAVE-STUDIO software and processed offline using Matlab. The results shown in Figure 10 were collected using the IWR1443 EVM as mentioned in the text below.

    You can collect raw ADC data from the mmWave EVM (IWR1443 or IWR1642) using the DCA1000  Data capture card and MMWAVE-STUDIO.

    I'll confirm the value of the CFAR detection threshold used for these experiments and get back to you.

    Thanks

    -Nitin 

  • Hi, Nitin.
    Thank you for your help. I have another question.
    Do I need a DCA1000 data capture card to receive adc raw data?
    You said that you used MATLAB to detect power lines offline, but can not it detect power lines in real time?
    Also, can I get mmwave data in real-time with only one program, either MATLAB or Python? ?

    Thanks
    Hyunsik
  • Hi Hyunsik,

    That is correct, you need a DCA1000 data capture card to receive raw data. The DCA1000 data capture card captures data and sends it out over Ethernet but the captured samples are not transmitted to the PC in real-time and so the raw data needs to be processed offline. However, this is not a device limitation. The raw data capture solution is meant to help users design their algorithms and processing chain in Matlab. Once the algorithm design is complete, it is implemented in C (e.g. the MMWAVE-SDK OOB Demo or People Counting Demo) and compiled as an executable which runs on the MMWAVE sensor device in realtime so you can detect power lines in real-time.

    You'll need to use TI's MMWAVE-STUDIO software to capture and process the Raw data with the DCA1000 EVM (plus IWR1443/IWR1642 EVM).

    Regards
    -Nitin