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

1 System Description

Autonomous control of a vehicle provides quality-of-life and safety benefits in addition to making the relatively mundane act of driving safer and less difficult. The quality-of-life features include the ability of a vehicle to park itself or to determine whether a lane change is possible and provide features like automatic cruise control—where a vehicle maintains a constant distance with respect to the car ahead of it, essentially tracking the velocity of the car in front of it. Autonomous breaking and collision avoidance are safety features that prevent accidents caused by driver inattention. These features work by observing the area around (front, rear, and adjacent) a car and alerting the autonomous driving subsystems if obstacles are observed that are likely to hit the car. Implementing these technologies require a variety of sensors to detect obstacles in the environment and track their velocities and positions over time.