A Review of Single-Carrier Underwater Acoustic Communication Equalization Techniques

Ziyue Ding

doi:10.54097/d19xt143

Authors

Ziyue Ding

DOI:

https://doi.org/10.54097/d19xt143

Keywords:

Underwater Acoustic Communication, Equalization Techniques, Turbo Equalization, MIMO Systems, Signal Processing.

Abstract

Single-carrier underwater acoustic communication equalization techniques play a significant role in marine environmental monitoring, environmental detection, and military defense. This paper provides a review of conventional and iterative equalization techniques in single-carrier underwater acoustic communication systems. First, conventional equalization techniques, including linear equalization and decision feedback equalization (DFE), are introduced, and their applications in low computational complexity and mild interference environments are discussed. Subsequently, the paper focuses on iterative equalization techniques, particularly Turbo equalization, iterative adaptive equalization, and MIMO systems, emphasizing their advantages in signal recovery under low signal-to-noise ratio conditions and their potential in handling time-varying channels and improving system capacity. Finally, this paper summarizes the limitations of existing technologies and envisions the future development of underwater acoustic communication equalization techniques through the integration of optimization algorithms and machine learning. It provides new research directions for the optimization of single-carrier underwater acoustic communication equalization techniques.

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References

[1] Yang J, Wang J, Qiao G, et al. Overview of underwater acoustic communication and network technologies[J]. Journal of Electronics and Information Technology, 2024, 46(01): 1-21.

[2] Wang L. Key technologies and development discussion of underwater acoustic communication[J]. Acoustics and Electronic Engineering, 2024, (02): 68-71.

[3] Liu J, Leng X, Ji Q, et al. Research progress on channel estimation techniques in underwater acoustic communication[J]. Telecommunication Technology, 2024, 64(12): 2081-2090.

[4] Zhang Y, Wang H, Li C, et al. Progress in the intersection of channel estimation and machine learning in underwater acoustic communication[J]. Acoustic Technology, 2022, 41(03): 334-345.

[5] Zhang Y, Huang F, Lan H, et al. Overview of single-carrier modulation techniques for underwater acoustic communication[J]. Journal of Harbin Engineering University, 2019, 40(11): 1809-1815.

[6] Tian Y, Zhang A, Li L, Zhu G, Li W. Experimental study of single-carrier underwater acoustic communication under ice[J]. Acoustic Technology, 2022, 41(5): 648-653.

[7] Wu F Y, Yang H Z, Zhou Y, et al. A fast Kalman equalizer for single-carrier underwater acoustic communication[J]. IEEE Transactions on Industrial Informatics, 2024.

[8] Tu X, Xu X, Song A. Frequency-domain decision feedback equalization for single-carrier transmissions in fast time-varying underwater acoustic channels[J]. IEEE Journal of Oceanic Engineering, 2020, 46(2): 704-716.

[9] Tao J, Wu Y, Han X, et al. Sparse direct adaptive equalization for single-carrier MIMO underwater acoustic communications[J]. IEEE Journal of Oceanic Engineering, 2019, 45(4): 1622-1631.

[10] Selim A, Abdellatif H, Taha T E, et al. Efficient image transmission in high-degradation scenarios[J]. Journal of Optics, 2024, 53(3): 1689-1694.

[11] Yang G, Ding H, Guo Q, et al. Time-varying underwater acoustic channel estimation and equalization based on stacked training sequences and low-complexity frequency domain turbo equalization[J]. Journal of Electronics and Information Technology, 2021, 43(3): 850-856.

[12] Qin X, Qu F, Zheng Y R. Bayesian iterative channel estimation and turbo equalization for MIMO underwater acoustic communications[J]. IEEE Journal of Oceanic Engineering, 2020, 46(1): 326-337.

[13] Zhao Y, Tong F, Ma B, et al. Joint multi-path cluster equalization method for deep sea long-range single element underwater acoustic communication[J]. Acta Acustica, 2024, 49(4): 764-773.

[14] Xi J, Yan S, Xu L, et al. Sparsity-aware adaptive turbo equalization for underwater acoustic communications in the Mariana Trench[J]. IEEE Journal of Oceanic Engineering, 2020, 46(1): 338-351.

[15] Liu C, Tao J, Huang W. A recursive Gaussian Newton-based variable parameter adaptive receiver for single-carrier underwater acoustic communications[J]. IEEE Transactions on Vehicular Technology, 2024.

[16] Zheng T, He C, Jing L, et al. Delay-Doppler domain turbo equalization for single-carrier underwater acoustic communications[J]. IEEE Journal of Oceanic Engineering, 2025.

[17] Yu H, Liang Y, Ma H, et al. Joint impulsive noise mitigation and sparse channel estimation for mobile underwater acoustic communication[J]. IEEE Wireless Communications Letters, 2024.

[18] Kida Y, Deguchi M, Shimura T. Experimental demonstration on long-range time-reversal multiple-input/multiple-output underwater acoustic communication over tens of kbps in 12.5 km range[J]. Japanese Journal of Applied Physics, 2022, 61(SG): SG1057.

[19] Yin J, Ge W, Han X, et al. Frequency-domain equalization with interference rejection combining for single carrier multiple-input multiple-output underwater acoustic communications[J]. The Journal of the Acoustical Society of America, 2020, 147(2): EL138-EL143.