Implementing Automotive Radar on Tensilica Processors
The big controversy about sensors in autonomous driving is whether lidar is essential. Radar has improved significantly in resolution and so I like to phrase the question as to whether radar is getting better faster than lidar is getting cheaper. Today's focus is on radar since the technology is playing an increasingly important role, driven by automotive ADAS applications. These applications require higher performance and more capabilities from the radar module to determine distance, direction, and speed of targets in a multi-target scenario.
The radar technology used is known as frequency modulated continuous wave (FMCW), typically in the 77GHz band. Instead of putting out individual radar pulses and measuring the time-of-flight for the echo to return, the radar is transmitted continuously but with frequency varying, typically in a linear sawtooth wave.
To read the full article, click here
Related Semiconductor IP
- Chiplet Die-to-Die Interconnect IP Solution
- High speed MACsec Engine 100G/200G/400G/800G/1.6T
- Temperature/Voltage sensors
- AMBA Bus Host to eSPI Controller/Target
- AMBA Bus Host to eSPI Controller
Related Blogs
- Tensilica ConnX B20 for 5G, and Automotive Radar/Lidar
- How to Achieve High-Accuracy Keyword Spotting on Cortex-M Processors
- Delivering on the IoT Promise with Galileo Software GPS and Tensilica DSP IP
- Arm on Autonomous Automotive
Latest Blogs
- Embedded Security explained: Advanced Encryption Standard (AES)
- Cadence Demonstrates PCIe 8.0 PHY at PCI-SIG DevCon 2026
- Cadence Achieves Successful Silicon Validation of 1st IP Test Chips on Intel 18A
- From Classical CAN and CAN FD to CAN XL: Functional Safety and Security for Next-Generation In-Vehicle Communication
- Accelerating Embedded Memory Performance with 16-bit xSPI PSRAM IP