Accurate channel estimation and adaptive underwater acoustic communications based on Gaussian likelihood and constellation aggregation

• Main Authors: Wang, Liang, Qiao, Peiyue, Liang, Junyan, Chen, Tong, Wang, Xinjie, Yang, Guang
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Superimposed Training; Gaussian Likelihood
• Online Access: https://hdl.handle.net/10356/161309
• Institution: Nanyang Technological University

Achieving accurate channel estimation and adaptive communications with moving transceivers is challenging due to rapid changes in the underwater acoustic channels. We achieve an accurate channel estimation of fast time-varying underwater acoustic channels by using the superimposed training scheme wi...