Robust orbital-angular-momentum-based underwater acoustic communication with dynamic modal decomposition method
Liulin Li, Bingyi Liu, Zhongyi Guo

TL;DR
This paper introduces a modified Dynamic Modal Decomposition method for detecting orbital angular momentum in underwater acoustic communication, improving efficiency, robustness, and reducing bit error rate compared to traditional methods.
Contribution
It presents a novel partial-sampling DMD approach for accurate topological charge detection, enhancing underwater acoustic data transmission reliability and efficiency.
Findings
Modified DMD achieves accurate TC detection with partial sampling.
The approach reduces bit error rate compared to conventional methods.
It is more robust to array misalignment and noise.
Abstract
Recently, acoustic communication employing Orbital Angular Momentum (OAM) opens another avenue for efficient data transmission in aquatic environments. Current topological charge (TC) detection of OAM beams relies on the orthogonality among different-order OAM beams. Such strategy requires data collection from the entire acoustic field, which inevitably reduces the efficiency and increases the bit error rate (BER). To address these challenges, this study proposes a modified Dynamic Modal Decomposition (DMD) method by partially sampling the acoustic field for precise TC detection. Numerical simulations confirm the accuracy of this approach in extracting single or multiple TCs magnitudes within a partially-sampled acoustic field. We theoretically compare the performance of the modified DMD approach with conventional orthogonal decoding method. Simulation results indicate that our modified…
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