Millimetre-wave Radar Design using Multiple-Input Multiple Output (MIMO) Antenna Systems for Automotive Radar

该项目的愿景是设计、工程和实验演示一种革命性的无线发射器和接收器系统，为高级驾驶员辅助系统（ADAS）提供一种简单而自动化的方法。采用雷达方法，并且所提出的系统还可以帮助电动汽车（EV）无线充电。当与常规相比时，预期在效率和性能方面的改进以及降低的系统复杂性和成本。所设想的系统与用于ADAS的CMOS和雷达技术完全兼容，并且在安全性、便利性、低成本实施和鲁棒性方面带来了实质性的好处，并且与更传统的系统相比，其中不采用多输入多输出（MIMO）天线系统。此外，拟议的雷达系统可以显着提高道路危险和车道偏离的准确性和检测时间，同时还可以帮助驾驶员进行盲点监测，车道变更和巡航控制。与传统的监测传感器系统相比，所提出的颠覆性雷达技术也是一个重大进步，因为信号可以实时处理，然后根据需要进行下变频，以便向驾驶员显示数字输出。设计考虑因素包括空中链路的安全性、效率、用于有效聚焦和目标跟踪的智能孔径控制以及用于适当目标表征的具有高角分辨率的2D光束扫描。

The vision of this project is to design, engineer, and experimentally demonstrate a revolutionary wireless transmitter and receiver system that provides a simple yet automated approach for advanced driver assistance systems (ADAS). Radar approaches are employed and the proposed system can also assist with the charging of electric vehicles (EVs) wirelessly. Improvements in terms of efficiency and performance as well as reduced system complexity and cost are anticipated when compared to the conventional. The envisioned system is fully compatible with CMOS and radar technologies for ADAS and brings substantial benefits in terms of safety, convenience, low-cost implementation, and robustness, and when compared to more conventional systems and where Multiple-Input Multiple Output (MIMO) antenna systems are not employed. In addition, the proposed radar system can significantly increase the accuracy and detection time of road hazards and lane departures for vehicles, while also, assisting drivers with blind spot monitoring, lane changes, and cruise control. The proposed and disruptive radar technology is also a significant advancement from conventional monitoring sensor systems as signals can be processed in real-time and then down converted for digital output display to the driver as needed. Design considerations are to be made for safety, efficiency in the airlink, smart aperture control for efficient focusing and target tracking as well as 2D beam scanning with high angular resolution for proper target characterization.