Low-Complexity Noncoherent Demodulation Method for Underwater Electromagnetic Communication

To strike a balance between complexity and performance in Minimum Shift Keying (MSK) systems for underwater electromagnetic communication, we propose a low-complexity maximum-likelihood (ML) noncoherent demodulation method. By integrating a resource reuse mechanism with a confidence-driven adaptive extension strategy, the proposed method significantly reduces computational resource consumption while maintaining near-optimal demodulation performance. Simulation results demonstrate that the bit-error-rate (BER) performance of the proposed method approaches that of the traditional fixed length ML receiver when the confidence threshold is set to 0.1. Meanwhile, the proposed method reduces complex correlation operations by 96.2% and complex addition operations by 87.1%, achieving minimal average computational overhead. Furthermore, we evaluate the method under frequency-flat Rayleigh fading channels, and the results confirm that the proposed method retains its performance advantage and complexity reduction under fading, supporting its potential for reliable underwater communication.

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Publication Details

Journal
Sensors
Published
2026-04-07
DOI
https://doi.org/10.3390/s26072266
Primary Topic
Underwater Vehicles and Communication Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Low-Complexity Noncoherent Demodulation Method for Underwater Electromagnetic Communication

Ziyi Yang, Deguang Zhao, Bizheng Liang, Xuhui Ding et al.
Sensors
Underwater Vehicles and Communication Systems
article

Low-Complexity Noncoherent Demodulation Method for Underwater Electromagnetic Communication

Ziyi Yang, Deguang Zhao, Bizheng Liang, Xuhui Ding, Longyang Deng
article en

Abstract

To strike a balance between complexity and performance in Minimum Shift Keying (MSK) systems for underwater electromagnetic communication, we propose a low-complexity maximum-likelihood (ML) noncoherent demodulation method. By integrating a resource reuse mechanism with a confidence-driven adaptive extension strategy, the proposed method significantly reduces computational resource consumption while maintaining near-optimal demodulation performance. Simulation results demonstrate that the bit-error-rate (BER) performance of the proposed method approaches that of the traditional fixed length ML receiver when the confidence threshold is set to 0.1. Meanwhile, the proposed method reduces complex correlation operations by 96.2% and complex addition operations by 87.1%, achieving minimal average computational overhead. Furthermore, we evaluate the method under frequency-flat Rayleigh fading channels, and the results confirm that the proposed method retains its performance advantage and complexity reduction under fading, supporting its potential for reliable underwater communication.

SensorsVol. 26(7)
Beijing Institute of Technology (CN), China Academy of Space Technology (CN), Jinan Institute of Quantum Technology (CN), Beihang University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Decent work and economic growth
Openalex Percentile: Top 29%
Underwater Vehicles and Communication Systems
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