Metamaterial-based real-time communication with high information density by multipath twisting of acoustic wave

Kai Wu, Jing-Jing Liu (), Yu-jiang Ding, Wei Wang, Bin Liang () and Jian-Chun Cheng ()
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Kai Wu: Nanjing University
Jing-Jing Liu: Nanjing University
Yu-jiang Ding: Nanjing University
Wei Wang: Nanjing University
Bin Liang: Nanjing University
Jian-Chun Cheng: Nanjing University

Nature Communications, 2022, vol. 13, issue 1, 1-8

Abstract: Abstract Speeding up the transmission of information carried by waves is of fundamental interest for wave physics, with pivotal significance for underwater communications. To overcome the current limitations in information transfer capacity, here we propose and experimentally validate a mechanism using multipath sound twisting to realize real-time high-capacity communication free of signal-processing or sensor-scanning. The undesired channel crosstalk, conventionally reduced via time-consuming postprocessing, is virtually suppressed by using a metamaterial layer as purely-passive demultiplexer with high spatial selectivity. Furthermore, the compactness of system ensures high information density crucial for acoustics-based applications. A distinct example of complicated image transmission is experimentally demonstrated, showing as many independent channels as the path number multiplied by vortex mode number and an extremely-low bit error rate nearly 1/10 of the forward error correction limit. Our strategy opens an avenue to metamaterial-based high-capacity communication paradigm compatible with the conventional multiplexing mechanisms, with far-reaching impact on acoustics and other domains.

Date: 2022
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DOI: 10.1038/s41467-022-32778-z

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