TIDUFF0 December   2025

 

  1.   1
  2.   Description
  3.   Resources
  4.   Features
  5.   Applications
  6.   6
  7. 1System Description
    1. 1.1 Key System Specifications
  8. 2System Overview
    1. 2.1 Block Diagram
    2. 2.2 Design Considerations
    3. 2.3 Highlighted Products
      1. 2.3.1 AWR2188
      2. 2.3.2 DS90UB971S-Q1
      3. 2.3.3 MSPM0G3519-Q1
      4. 2.3.4 LM68635-Q1
      5. 2.3.5 LP8772x-Q1
      6. 2.3.6 TPS6285018A-Q1
      7. 2.3.7 CDC6C025000-Q1
  9. 3System Design Theory
    1. 3.1 Diagnostic and Monitoring Features
    2. 3.2 Power over Coax (PoC) Network
    3. 3.3 SPI and I2C Communication Interface
  10. 4Hardware, Software, Testing Requirements, and Test Results
    1. 4.1 Hardware Requirements
    2. 4.2 Software Requirements
    3. 4.3 Test Setup
      1. 4.3.1 Precautions
      2. 4.3.2 Data Capturing Approach
  11. 5Design and Documentation Support
    1. 5.1 Design Files
      1. 5.1.1 Schematics
      2. 5.1.2 BOM
      3. 5.1.3 PCB Layout Recommendations
        1. 5.1.3.1 Launch on Package (LOP Antenna)
        2. 5.1.3.2 Power over Coax (PoC)
        3. 5.1.3.3 PCB Layer Stackup
        4. 5.1.3.4 Board Photos
    2. 5.2 Tools and Software
    3. 5.3 Documentation Support
    4. 5.4 Support Resources
    5. 5.5 Trademarks
      1. 5.5.1 About the Author
  12. 6About the Author

1 System Description

Car manufacturers across the globe are targeting higher levels of autonomous driving by continuously enhancing advanced driver assistance systems (ADAS) features. This radar reference design utilizes TI integrated circuits to build a complete radar module that delivers best-in-class performance by combining the AWR2188 radar transceivers, low noise power supply and FPD-Link analog-to-digital converter (ADC) raw data communication to address the shift of edge processing to streaming radar in the automotive industry.

Streaming radar architecture combined with centralized processing offers significant advantages over traditional edge compute methods by reducing sensor cost, size, weight, and wiring complexity through Power-over-Cable technologies. Additionally, using streaming radar sensors enables system scalability and modularity. The ability to position sensors in more convenient locations around the car enables integration of more ADAS functions. The design can adjust the degree of coverage just by changing the number or configuration of the sensors, thus scaling a single platform from a cost-sensitive low-end vehicle to a differentiated premium vehicle offering with different levels of autonomy. Streaming architecture adds value through a sensor fusion algorithm and the larger computing capability in the central ECU. Simplified streaming radar sensors and differentiation through software can help reduce system complexity and offer new ways of creating value. These benefits – performance, scalability, and simplicity – all contribute to the prominence of the streaming architecture in the automotive industry.