ZHCU831 November   2021 AWR2944

 

  1.   说明
  2.   资源
  3.   特性
  4.   应用
  5.   5
  6. 1System Description
    1. 1.1 Why use Radar?
    2. 1.2 TI Corner Radar Design
    3. 1.3 Key System Specification
  7. 2System Overview
    1. 2.1 Block Diagram
    2. 2.2 Design Considerations
    3. 2.3 Highlighted Products
      1. 2.3.1 AWR2944 Single-Chip Radar Solution
      2. 2.3.2 AWR2944 Evaluation Module
    4. 2.4 System Design Theory
      1. 2.4.1  Antenna Configuration
      2. 2.4.2  Chirp Configuration and System Performance
      3. 2.4.3  Data Path
      4. 2.4.4  Chirp Timing
      5. 2.4.5  eDMA Configuration
      6. 2.4.6  Memory Allocation
      7. 2.4.7  DDMA
      8. 2.4.8  Empty Subband Based DDMA
      9. 2.4.9  RANSAC
      10. 2.4.10 Group Tracker
  8. 3Hardware, Software, Testing Requirements, and Test Results
    1. 3.1 Required Hardware and Software
      1. 3.1.1 Hardware
      2. 3.1.2 Software and GUI
    2. 3.2 Test Setup
    3. 3.3 Test Results
  9. 4Design and Documentation Support
    1. 4.1 Design Files
      1. 4.1.1 Schematics
      2. 4.1.2 BOM
    2. 4.2 Tools and Software
    3. 4.3 Documentation Support
    4. 4.4 支持资源
    5. 4.5 Trademarks
  10. 5About the Author

RANSAC

Radar measures the relative radial velocity between the target and radar sensor. In several scenarios, an understanding of whether the relative velocity is due to the movement of the target or the movement of the ego-vehicle itself is required. In this reference design, we fit the velocity profile (radial velocity as a function of the azimuth angle) of the detected points to a motion model using a statistical algorithm called RANSAC (Random sampling and Consensus) to distinguish between the reflections from moving and stationary targets in the ego-vehicles environment. More details about the algorithm are found in Instantaneous ego-motion estimation using Doppler radar(5). The radar detected points that have been classified as coming from moving objects are used as an input to the tracking algorithm.