Automotive SerDes performance evaluation under in-line connector channels

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.