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Automotive Radar Microcontroller Said to Bolster Accuracy and Safety
SANTA CLARA, Calif.–Renesas Electronics Corporation recently introduced its first RH850-based, 32-bit, automotive radar microcontroller (MCU) series, the RH850/V1R, for enabling future advanced driver assistance systems (ADAS) and autonomous driving vehicles. The RH850/V1R-M, the first product from the RH850/V1R Series, includes a digital signal processor (DSP, Note 1) and high speed serial interfaces, and is specifically designed for middle- to long-range radars, the company said in a press release.
Software and tools, including evaluation boards, will also become available to enable system developers to start their development immediately with the RH850/V1R-M microcontroller.
With the expansion of ADAS and autonomous driving, sensors are fast becoming a key technology. Currently, vehicles are being equipped with a broad spectrum of sensors, such as cameras, LiDAR, and ultrasonic sensors. In particular, radar sensors are required for ADAS applications, including advanced emergency braking and adaptive cruise control, because unlike other sensors, radar sensors are not negatively affected by external environmental limitations, including adverse weather conditions, such as rain, fog, or whether the sun is shining or not.
High precision sensing becomes critical in realizing future autonomous driving to meet the increasing requirements of range resolution, separation of objects, and precision in measurement of velocity. This requires increased numbers of antennas and boosting of the signal processing performance.
To address these needs, Renesas launched the new RH850/V1R-M MCU, specifically designed for radar applications in ADAS. The new MCU is said to include optimized, programmable digital signal processing, a dual core at 320 megahertz (MHz) with industry-leading high speed flash of 2 megabyte (MB), and a 2 MB internal RAM, while meeting the industry's highest temperature requirements.
The RH850/V1R-M microcontroller offers high-performance digital signal processing (DSP), with flexible programmability for improved radar signal processing performance and increased sensing accuracy, the company said. It is designed to have optimized hardware acceleration in the DSP. The optimized DSP allows system developers to process the raw data into target objects efficiently, separately from the safety-relevant classification and tracking done in the CPUs.
Renesas's high-performance DSP is reported to perform radar specific algorithms, such as fast fourier transforms (FFTs, Note 2), beamforming, windowing, channel calibration, and peak search, at high speed and with low power consumption. Renesas specifically developed a DSP math library for automotive radar sensors to support system developers in their algorithm development.
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