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原文传递 Combining Millimeter-Wave Radar and Communication Paradigms for Automotive Applications: A Signal Processing Approach

题名：	Combining Millimeter-Wave Radar and Communication Paradigms for Automotive Applications: A Signal Processing Approach
作者：	Choi, J.; Nuria Gonzalez-Prelcic, V.; Daniels, R.; Bhat, C. R.; Heath, R. W.
关键词：	Millimeter wave radar##Lidar (Laser detection and ranging)##Automotive applications##Connected vehicles##Sensors##Radar (Radio detection and ranging)##Dedicated SHort Range Communication (DSRC)##Wireless communications##
摘要：	As driving becomes more automated, vehicles are being equipped with more sensors generating even higher data rates. Radars (RAdio Detection and Ranging) are used for object detection, visual cameras as virtual mirrors, and LIDARs (LIght Detection and Ranging) for generating high resolution depth associated range maps, all to enhance the safety and efficiency of driving. Connected vehicles can use wireless communication to exchange sensor data, allowing them to enlarge their sensing range and improve automated driving functions. Unfortunately, conventional technologies, such as dedicated shortrange communication (DSRC) and 4G cellular communication, do not support the gigabit-per-second data rates that would be required for raw sensor data exchange between vehicles. This paper makes the case that millimeter wave (mmWave) communication is the only viable approach for high bandwidth connected vehicles. The motivations and challenges associated with using mmWave for vehicle-tovehicle and vehicle-to-infrastructure applications are highlighted. A high-level solution to one key challenge — the overhead of mmWave beam training — is proposed. The critical feature of this solution is to leverage information derived from the sensors or DSRC as side information for the mmWave communication link.
总页数：	25
报告类型：	科技报告