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

3 Summary

The IWRL6432AOP has two angle estimator methods. The FFT angle estimation algorithm offers good angle estimation performance within a reasonable field of view with quick processing times, whereas the Steering Vectors angle estimation algorithm offers improved angle estimation over a wider field of view, at the cost of slower processing times. The steering vectors algorithm was tested on stationary targets and walking human subjects over a wide bandwidth and frequency range to ensure robust performance across many conditions.

Both angle estimation algorothms allow designers to use the IWRL6432 to detect people and objects at long ranges. Looking forward, they could even be used together in a multi-pass detection architecture. The FFT angle estimation method can reduce the power consumption of the radar when people are not detected in the field of view, and upon detection, the steering vectors algorithm could offer finer localization to verify that the radar reacts properly depending on the location of the detections.