Advanced driver assistance systems (ADAS) have rapidly evolved over the last five years, from comfort functions, such as adaptive cruise control (ACC), to safety-enhancing functions such as emergency braking and newer applications like pedestrian detection and 360-degree sensing. Previous millimeter wave (mmWave) sensors which enabled these applications were all discrete, with the transmitters, receivers and the processing components as separate units. This made the design process of the mmWave sensor complex and the solution big and bulky.
By bucking the trend of traditional silicon germanium- (SiGe) based sensor technology, TI’s RFCMOS-based radar sensors bring in a high level of digital and analog integration to enable high output power, low power consumption (50 percent less compared to existing solutions in market) and low-phase noise, in turn resulting in accurate and ultra-high resolution sensing enabling a safer and advanced driving experience.
With three devices in TI’s mmWave sensors portfolio, AWR1243, AWR1443 and AWR1642 sensors, developers can choose the right range and level of sensitivity for their design needs.
The AWR1x sensors work on frequency modulated continuous waveform (FMCW) technique in the 76 – 81 GHz band and have the following features:
Long- and mid-range sensing applications
Imagine driving at a high speed on a highway with automatic cruise control. If any obstacles were to appear in the vicinity of your car at a certain distance or curvature, the mmWave sensor can help detect this obstacle in a matter of milliseconds (ms). The central intelligent system will then alert the driver within 100 ms to take the necessary action to help alert the driver of possible danger.
The AWR1243 mmWave device, as displayed in Figure 1, is a radar front-end sensor with three transmitter and four receiver antennas targeted toward long and mid-range radar applications like ACC and automatic emergency braking (AEB) which are required for autonomous driving. It comes with the camera serial interface-2 (CSI-2)/low-voltage differential signaling (LVDS), I2C and serial peripheral interface (SPI). The monolithic mmWave integrated circuit (MMIC) comes with an inbuilt calibration and monitoring engine and is coupled with an external processor such as the TI TDA3 processor. Cascading multiple AWR1243 sensors can easily achieve farther range and better angular resolution in an application such as imaging radar for automated highway driving.
Figure 1: AWR1243 mmWave transceiver, the range and field of view capability
According to the Eno Center for Transportation, about 90 percent of car accidents are due to human error; many of the accidents caused by driver distraction. Cameras, 24 GHz radar and ultrasonic sensors exist on the market to help address these problems, but the products may not be the best fit. This is where TI’s 77 GHz single-chip digital signal processor (DSP) integrated solution can make a difference. Our mmWave sensors can work under any environmental condition like day, night, snow, rain, fog and dust and provide highly accurate measurements in a small form factor with low-power consumption.
The TI AWR1642 sensor offers the below features compared to a 24 GHz sensor:
The AWR1642 is a high-end, single-chip mmWave sensor, as show in Figure 2, with two transmitter and four receiver antennas targeted toward short-range and ultra-short-range applications like blind-spot detection, lane-change assistance, cross-traffic alert and stop and go. It comes with CAN, CAN flexible data rate (CAN FD) and SPI interfaces, as well as 1.5 MB of on-chip RAM. An ARM® Cortex®-R4F and TI C674x DSP handle data processing
The presence of a hardware-in-loop (HIL) interface enables feeding of raw analog-to-digital converter (ADC) data collected in the field back to the sensor, which enables the analysis of the data path and algorithmic development. A crypto accelerator encrypts object/raw data sent to the engine control unit (ECU) through the CAN/CAN FD interface.
The ARM Cortex-R4F can run automotive open systems architecture (AUTOSAR), clustering and tracking algorithms. For signal processing-intensive applications like Fast Fourier Transform (FFT) and object detection, the C674x DSP can perform both fixed- and floating-point operations.
Figure 2: AWR1642 single chip sensor and its range, field of view capability
By leveraging TI’s software and system development kit (SDK) developers can evaluate and enable a sensor project in less than 30 minutes.
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