인라인 커넥터를 고려한 채널 기반의 차량용 SerDes 성능 평가

Abstract

High-speed in-vehicle networks are required to process vast amounts of data from various sensors, such as cameras, light detection and ranging(LiDAR), and radars to develop autonomous driving technology. Automotive Serialized Deserializer (SerDes), such as flat panel display(FPD), gigabit multimedia serial link(GMSL), and Automotive SerDes Alliance (ASA), has been proposed in order to adopt high-speed SerDes technology to vehicles. In this paper, we investigate the optimal receiver environment parameters to provide the highest link performance for the Automotive SerDes channel under the in-line connectors mandatory for car assembly. In addition, we propose a channel estimation method by using auto-correlation in order to set the receiver analog front-end in an optimal way to achieve the highest signal-to-noise power ratio(SNPR) performance in various automotive link conditions. © 2020 Korean Society of Automotive Engineers. All rights reserved.