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

• المؤلفون الرئيسيون: Wang, Liang, Qiao, Peiyue, Liang, Junyan, Chen, Tong, Wang, Xinjie, Yang, Guang
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Electrical and electronic engineering; Superimposed Training; Gaussian Likelihood
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/161309

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...