SDAA103 September   2025 IWRL6432AOP

 

  1.   1
  2.   Abstract
  3.   Trademarks
  4. 1Introduction
    1. 1.1 Angle of Arrival Estimation Theory: FFT Beamformer
    2. 1.2 Angle of Arrival Estimation Theory: Steering Vectors
  5. 2Additional Information
    1. 2.1 Measurement Procedure
    2. 2.2 Testing Results
      1. 2.2.1 Anechoic Chamber Testing on Corner Reflector Targets
      2. 2.2.2 Outdoor Testing on Human Subjects
    3. 2.3 Processing Time
    4. 2.4 Usage
    5. 2.5 Extensions to Other Platforms
  6. 3Summary
  7. 4References
  8. 5Appendix
    1. 5.1 Chirping Parameters for Each Configuration File
    2. 5.2 Point Cloud Data for Human Subject Testing

Abstract

The IWRL6432AOP is a low-power, highly integrated radar chip that uses 60GHz radiation to effectively detect, localize, track and classify human and non-human targets over a large field of view. The IWRL6432AOP can be used to turn on a video camera, power on an air conditioner, or prevent a robot from colliding with a person when the robot determines someone is present. To detect presence accurately though, the IWRL6432AOP need to be able to localize people effectively in 3D space. TI offers two angle-of-arrival (AOA) estimation algorithms to accomplish this. For power-constrained applications, the FFT beamforming algorithm delivers AOA estimation results with an average absolute error of 8.5° within a ±60° FOV. Alternatively, for devices with a higher power budget, the steering vectors beamforming algorithm achieves an average absolute error of 2.9° within a ±70° FOV, and takes 0.15 additional msec per detected point. This application note discusses the theory behind both methods, the tradeoffs between the methods, and the results when the methods were tested in the lab and outdoors.