Automotive Radar MCU Selection Guide: Case Analysis and Suggestions

The automotive industry is booming, and the requirements for vehicle safety performance are also increasing. In the process of realizing autonomous driving and intelligent driving, automotive radar systems play a pivotal role and have become a key component of vehicle safety. The automotive radar MCU (microcontroller) is the vital core of this system, responsible for processing radar signals, data processing and control, and other tasks. This article will discuss several examples of automotive radar MCU development solutions, aiming to provide some useful references for the design and development of automotive radar systems.
DSP-based automotive radar MCU development solution
1. Program introduction
This solution uses an automotive radar MCU based on DSP (digital signal processor), which has the characteristics of high performance and low power consumption, providing excellent performance for automotive radar systems. At the same time, by integrating a rich set of peripheral interfaces and communication protocols, comprehensive control and management of the automotive radar system can be achieved.

2. Main functions
(1) Radar signal processing: Use digital filtering, Doppler frequency shift calculation and other technologies to extract key information such as target distance and speed.

(2) Data processing: Perform operations such as fusion and classification on the processed data to achieve accurate identification and tracking of targets.

(3) Control output: Generate control signals based on data processing results to drive the actuator to implement corresponding actions.

(4) Communication interface: Supports various communication protocols such as CAN and LIN to realize communication and data exchange with other vehicle systems.

FPGA-based automotive radar MCU development solution

1. Program introduction
This solution uses an automotive radar MCU based on FPGA (Field Programmable Gate Array), which has the characteristics of high flexibility and strong customizability. Flexible control and optimization of automotive radar systems can be achieved by writing Hardware Description Language (HDL) code.

2. Main functions
(1) Radar signal processing: Use digital filtering, Doppler frequency shift calculation and other technologies to extract key information such as target distance and speed.

(2) Data processing: Perform operations such as fusion and classification on the processed data to achieve accurate identification and tracking of targets.

(3) Control output: Generate control signals based on data processing results to drive the actuator to implement corresponding actions.

(4) Communication interface: Supports various communication protocols such as CAN and LIN to realize communication and data exchange with other vehicle systems.

Automotive radar MCU development solution based on ARM Cortex-M4
1. Program introduction
This solution uses a 32-bit microcontroller based on the ARM Cortex-M4 core as the automotive radar MCU, which has the characteristics of high performance, low power consumption, and high integration. By integrating multiple peripheral interfaces and rich communication protocols, comprehensive control and management of automotive radar systems can be achieved.

2. Main functions
(1) Radar signal processing: Use digital filtering, Doppler frequency shift calculation and other technologies to extract key information such as target distance and speed.

(2) Data processing: Perform operations such as fusion and classification on the processed data to achieve accurate identification and tracking of targets.

(3) Control output: Generate control signals based on data processing results to drive the actuator to implement corresponding actions.

(4) Communication interface: supports CAN, LIN and other communication protocols to realize communication and data exchange with other vehicle systems.