摘要: |
Vehicular radar and communication are the two primary means of using radio frequency (RF) signals in transportation systems. Automotive radars provide high-resolution sensing using proprietary waveforms in millimeter wave (mmWave) bands and vehicular communications allow vehicles to exchange safety messages or raw sensor data. Both the techniques can be used for applications such as forward collision warning, cooperative adaptive cruise control, and pre-crash applications.
The project aims at developing a mmWave vehicular joint system that exploits the same waveform for both communication and radar operations, thus allowing hardware reuse. The use of a standard mmWave waveform, which provides access to a large bandwidth, will lead to significant advantages in terms of higher data rates for communication and better accuracy/resolution for radar operation compared with approaches based on sub-6 GHz frequencies. The initial work was to propose the idea of using IEEE 802.11ad for a joint vehicular communication and radar system. This allows us to exploit the same spectrum and to leverage shared hardware based on the mmWave consumer WLAN standard. The approach is reasonable because the most prevalent vehicular communication standard, dedicated short-range communications (DSRC), is based on the WLAN standard. This project proposes to refine previously developed algorithms and develop a further framework and associated algorithm to better achieve vehicular radar and communication objectives. These algorithms shall be used for designing modified IEEE 802.11ad and associated processing techniques (e.g., by exploiting sparsity) that permit both radar and communication functionalities in a multi-target scenario. The results will allow insights about how to design an optimal joint waveform for different vehicular scenarios to meet the continuously growing performance requirements of a more advanced assisted driving and future autonomous driving. |