TIDUED6B august   2018  – april 2023

 

  1.   Description
  2.   Resources
  3.   Features
  4.   Applications
  5.   Design Images
  6. 1System Description
    1. 1.1 Key System Specifications
  7. 2System Overview
    1. 2.1 Block Diagram
    2. 2.2 Design Considerations
      1. 2.2.1 mmWave Sensor
        1. 2.2.1.1 mmWave Sensor People Counting
        2. 2.2.1.2 IWR6843 UART Communication
          1. 2.2.1.2.1 IWR6843 Frame Output
          2. 2.2.1.2.2 IWR6843 Frame Header
          3. 2.2.1.2.3 TLV Elements
      2. 2.2.2 Power Supply Design
      3. 2.2.3 Wireless Network Design
      4. 2.2.4 CC1352 Software Design
        1. 2.2.4.1 Collector Node
        2. 2.2.4.2 Sensor Node
        3. 2.2.4.3 mmWave Sensor Configuration Command List Modification
    3. 2.3 Highlighted Products
      1. 2.3.1 IWR6843: Single-Chip 60- to 64-GHz mmWave Sensor
      2. 2.3.2 CC1352R: SimpleLink High-Performance Dual-Band Wireless MCU
      3. 2.3.3 IWR6843ISK and MMWAVEICBOOST: mmWave EVMs
      4. 2.3.4 LAUNCHXL-CC1352R1: SimpleLink™ Multi-Band CC1352R Wireless MCU LaunchPad™ Development Kit
  8. 3Hardware, Software, Testing Requirements, and Test Results
    1. 3.1 Required Hardware and Software
      1. 3.1.1 Hardware Setup
      2. 3.1.2 Software Setup
        1. 3.1.2.1 Loading the CC1352 Firmware
        2. 3.1.2.2 Loading the IWR6843 Firmware
        3. 3.1.2.3 Starting the Firmware
        4. 3.1.2.4 Building the Firmware
        5. 3.1.2.5 Viewing Collector Data Output
        6. 3.1.2.6 Modifying the mmWave Configuration
    2. 3.2 Testing and Results
      1. 3.2.1 Test Setup
        1. 3.2.1.1 People Counting Setup
        2. 3.2.1.2 Power Consumption
        3. 3.2.1.3 Wireless RF Range
      2. 3.2.2 Test Results
        1. 3.2.2.1 People Counting Test Results
        2. 3.2.2.2 Power Characterization
        3. 3.2.2.3 Wireless RF Range Results
  9. 4Design Files
    1. 4.1 Schematics
    2. 4.2 Bill of Materials
    3. 4.3 PCB Layout Recommendations
    4. 4.4 Altium Project
    5. 4.5 Gerber Files
    6. 4.6 Assembly Drawings
  10. 5Software Files
  11. 6Related Documentation
  12. 7Trademarks
  13. 8About the Author
  14. 9Revision History

2.2.1.1 mmWave Sensor People Counting

The implementation of the people-counting application example in the signal-processing chain consists of the following blocks, implemented as DSP code executing on the C674x core in the IWR6843. The tracking module runs on the ARM® Cortex®-R4F processor.

  • Range Processing:
    • For each antenna, 1D windowing, and 1D fast Fourier transform (FFT)
    • Range processing is interleaved with the active chirp time of the frame
  • Capon beam forming:
    • Static clutter removal
    • Co-variance matrix generation, inverse-angle spectrum generation, and integration is performed
    • Outputs range-angle heat map
  • CFAR detection algorithm:
    • Two-pass, constant false-alarm rate
    • First pass cell averaging smallest of CFAR-CASO in the range domain, confirmed by second pass cell averaging smallest of CFAR-CASO in the angle domain, to find detection points.
  • Doppler estimation:
    • For each detected [range, azimuth] pair from the detection module, estimate the Doppler by filtering the range bin using Capon beam-weights, and then run a peak search over the FFT of the filtered range bin.
  • Tracking:
    • Perform target localization, and report the results.
    • Output of the tracker is a set of trackable objects with certain properties like position, velocity, physical dimensions, and point density
    GUID-AF81FB4F-0309-45C6-95BD-8870888E7AB4-low.gif Figure 2-2 People-Counting Application Block Diagram
For more detailed information on the people-counting application, see People Tracking and Counting Reference Design Using mmWave Radar Sensor.