Microprocessor is optimized for radar-based ADAS
The RH850/V1R-M, the first product from the RH850/V1R Series, includes a digital signal processor (DSP) and high speed serial interfaces and is specifically designed for middle- to long-range radars. Software and tools including evaluation boards will also become available to enable the system developers to start their development immediately with the RH850/V1R-M solution.
With the expansion of ADAS and autonomous driving, sensors are quickly 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.
Additionally, 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 includes optimized, programmable digital signal processing, a dual core at 320 megahertz (MHz) with 2 MB of high speed flash and 2 MB internal RAM.
Key features of the RH850/V1R-M MCU include
– High-performance DSP with flexible programmability for improved radar signal processing performance and increased sensing accuracy,
– Low-power technology and embedded flash for more compact and low-cost radar sensors,
– Dual core at 320MHz high performance, integrated 2MB large capacity RAM, 2MB high-speed flash and highest temperature requirements
Samples of the RH850/V1R-M and the DSP math library will be available from second half of 2017. Mass production is scheduled to begin in November 2018. A flexible programmable complete toolchain with C/C++ compiler, debugger, simulation models and detailed performance profiling tools will also be available.
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