SPRADP2 January   2025 AWR1843 , AWR2544 , AWR2944 , AWR2944P

 

  1.   1
  2.   Abstract
  3. 1Introduction
  4. 2ADAS Radar Market Trends and Evolution of Requirements
  5. 3AWR2E44P and AWR2944P - Performance, Processing, and Memory Enhancements
    1. 3.1 Signal-to-Noise Ratio (SNR) Improvement
    2. 3.2 TI 2nd Generation Launch on Package Technology (LOP)
    3. 3.3 Increased Computational Capacity
    4. 3.4 Expanded Memory for Radar Data Cube
    5. 3.5 1Gbps Ethernet Interface
    6. 3.6 Enhanced Security and Reliability
    7. 3.7 eBOM Optimization
  6. 4No Compromise on SW Scalability and Reusability
    1. 4.1 Software Development Kit
    2. 4.2 Microcontroller Abstraction Layer
    3. 4.3 mmWave DFP (Device Firmware Package)
    4. 4.4 TI Foundational Security
    5. 4.5 Safety Diagnostic Library
  7. 5AWR2E44P Evaluation and Measurements
  8. 6Summary
  9. 7Acknowledgments

2 ADAS Radar Market Trends and Evolution of Requirements

Five to six years ago, the ADAS market required OEMs to provide NCAP BSD (blind spot detection), ACC (adaptive cruise control) and AEB (automatic emergency braking) in their vehicles, with detection ranges on the order of 150 to 200 meters. OEMs’ architectures primarily relied on edge-sensing systems with CAN-FD interfaces with data rates limited up to 6-8 Mbps. Today, market trends have accelerated towards more stringent NCAP requirements with the introduction of UN R79: range requirements in corner and front radars have increased 30-40% and added capabilities like elevation detection are now requisite. OEMs’ architectures have also transitioned to high-speed Ethernet interfaces, supporting data rates up to 100 Mbps or higher. The AWR2944 radar sensor was introduced to respond to these trends, providing enhanced configurations including four receive and four transmit channels. Looking to the future, radar sensors must meet even higher standards to support Level 3 and autonomous driving, including complex detection capabilities to differentiate static objects and improve object classification. These systems require an optimized SNR with an emphasis on reducing noise figure rather than solely increasing output power, as increasing solely output power comes with added thermal challenges and noise floor challenges if blockers or large objects are present in the scene. AWR2944P and AWR2E44P radar sensors leverage TI’s proprietary enhanced process and second-generation LoP technology to achieve improved SNR and enhanced computational performance, supporting complex scenarios such as eyes-off and hands-off autonomous driving on highways and at intersections.