Enhanced Automotive Radar Coexistence and Performance

汽车雷达市场已经是一个价值数十亿美元的产业，并且正在迅速增长。由于其全天候和昼夜操作的能力，汽车雷达可用于为车辆提供多种安全功能。它也是自动驾驶的关键使能技术。然而，随着许多车辆配备了车载雷达，由于附近雷达之间不可避免的相互干扰，这项技术可能成为其自身成功的受害者。此外，从一个雷达的发射器到另一个雷达的接收器的直接爆炸比从行人反射的信号强得多。因此，在大量车辆和其他车辆配备车载雷达之前，迫切需要解决相互干扰问题。该项目的目标是通过开发汽车雷达频段频谱共享的全部潜力，提供价格合理、技术可行、易于应用且符合技术趋势的变革性解决方案。该项目涉及推进汽车雷达行业频谱接入新技术的基础知识，并应用工程原理来解决未来汽车雷达系统的需求，同时在多个方面推进工程知识。具体而言，该项目包括研究实际可行和灵活的探测波形，以改善相互干扰抑制，设计先进的信号处理算法，以增强汽车雷达共存和提高分辨率，提高空间分辨率和共存，同时通过开发一比特汽车雷达接收器降低成本和功耗。利用车对车通信，开发相互协作策略和信号处理算法，使距离较近的汽车雷达系统能够共享足够的信息，形成多静态多输入多输出雷达网络。

The automotive radar market is already a multi-billion dollar industry and is growing rapidly. Due to its capabilities for all weather and day-and-night operations, automotive radar can be used to provide multiple safety functions for a vehicle. It is also a key enabling technology for autonomous driving. With many vehicles equipped with automotive radars, however, this technology can become the victim of its own success, due to the inevitable mutual interferences among nearby radars. Moreover, the direct blast from the transmitter of one radar to the receiver of another radar is much stronger than the reflected signal from a pedestrian. Therefore, there is an urgent need to address mutual interference problems before too many vehicles and other automobiles are equipped with automotive radars. The goal of this project is to provide transformative solutions that are affordable, technically feasible, easy to apply, and consistent with the technological trends via exploiting the full potential of spectrum sharing in the automotive radar frequency bands.This project involves advancing fundamental knowledge in new technologies for spectrum access in the automotive radar industry and applies engineering principles to address the needs of future automotive radar systems, while advancing engineering knowledge in multiple fronts. Specifically, this project involves investigating practically feasible and flexible probing waveforms for improved mutual interference suppression, devising advanced signal processing algorithms for enhanced automotive radar coexistence and improved resolution, enhancing spatial resolution and coexistence while reducing cost and power consumption through developing one-bit automotive radar receivers, and developing mutual cooperation strategies and signal processing algorithms by taking advantage of vehicle-to-vehicle communications so that automotive radar systems in close proximities can share sufficient information to form a multi-static multiple-input multiple-output radar network.