@inproceedings{57634cf31f234d0b8f31f8c11633bac3,
title = "Optimal replay-based channel simulation via dithering methods",
abstract = "We investigate replay-based channel simulation methods that reuse data collected from expensive field experiments through the use of dither within the standard communication pipeline. While traditional playback simulations rely on accurate channel models and their estimates, the method proposed here reduces the effect of channel estimation errors and unmodeled effects by exploiting similarities between different input signals. A notion of optimality of the proposed scheme will be discussed from the perspective of a related estimation problem. Finally, the proposed scheme is tested both numerically and experimentally with field data collected from MACE 10 experiments.",
keywords = "Channel estimation, Data reusability, Dither, Replay-based simulation, Underwater acoustic communication",
author = "Sijung Yang and Singer, {Andrew C.}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019 ; Conference date: 03-11-2019 Through 06-11-2019",
year = "2019",
month = nov,
doi = "10.1109/IEEECONF44664.2019.9049034",
language = "English (US)",
series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",
publisher = "IEEE Computer Society",
pages = "957--963",
editor = "Matthews, {Michael B.}",
booktitle = "Conference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019",
}