Multipath Geometry Channel Model in Shallow Water Acoustic Communication

Hala A. Naman , A. E. Abdelkareem

Journal of Marine Science and Application ›› 2023, Vol. 22 ›› Issue (2) : 359 -369.

PDF
Journal of Marine Science and Application ›› 2023, Vol. 22 ›› Issue (2) : 359 -369. DOI: 10.1007/s11804-023-00339-5
Research Article

Multipath Geometry Channel Model in Shallow Water Acoustic Communication

Author information +
History +
PDF

Abstract

Using the underwater acoustic channel (UWA) for information dissemination requires a high data rate. However, some phenomena like refraction, reflection, phase shift, and high attenuation are undesirably apparent when the subject of using UWA is raised. Accordingly, sound communication would be a highly challenging task to be accomplished. Therefore, proposing a model of acoustic underwater communication channels is critical because of the multipath interference originating from the surface and bottom of the ocean. In this contribution, a straightforward geometry channel model for vertical and horizontal marine communications is presented. To do so, transmission loss and channel impulse response are analyzed as a function of transmitter and receiver distance, water depth, and reflection rate. The results of the model proposed in this paper are in very good agreement with those available in the literature. Initial findings indicate that the delay spread of horizontal communication with a 1 000 m range reaches79 ms and 0.3 s for 30 m vertical communication.

Keywords

Geometry channel model / Multipath propagation / Transmission loss / Channel impulse response / Vertical acoustic communication / Horizontal acoustic communication

Cite this article

Download citation ▾
Hala A. Naman, A. E. Abdelkareem. Multipath Geometry Channel Model in Shallow Water Acoustic Communication. Journal of Marine Science and Application, 2023, 22(2): 359-369 DOI:10.1007/s11804-023-00339-5

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Abdelkareem AE, Sharif BS, Tsimenidis CC. Adaptive time varying Doppler shift compensation algorithm for OFDM-based underwater acoustic communication systems. Ad Hoc Networks. Elsevier B.V., 2016, 45: 104-119

[2]

Abdelkareem AE, Sharif BS, Tsimenidis CC, Neasham JA (2011) Time varying Doppler-shift compensation for OFDM-based shallow underwater acoustic communication systems. Proceedings of the 2011 IEEE Eighth International Conference on Mobile Ad-Hoc and Sensor Systems, 885–891. https://doi.org/10.1109/MASS.2011.105

[3]

Coates R. Underwater acoustic communication. Sea Technology, 1994, 35(7): 41-47

[4]

Coates RFW (1991) Underwater acoustic systems. Ultrasonics. https://doi.org/10.1016/0041-624x(91)90035-7

[5]

Elamassie M, Miramirkhani F, Uysal M (2018) Channel modeling and performance characterization of underwater visible light communications. Proceedings of 2018 IEEE International Conference on Communications Workshops, 1–5. https://doi.org/10.1109/ICCW.2018.8403731

[6]

Hui J, Sheng X. Reverberation Channel’, in Underwater Acoustic Channel, 2022, Singapore: Springer Nature Singapore, 175-191

[7]

John Heidemann B, Stojanovic M, Zorzi M. Underwater sensor networks: applications, advances and challenges. Trans. R. Soc. A, 2012, 370: 158-175

[8]

Lou Y, Ahmed N. Basic Principles of Underwater Acoustic Communication. Underwater Communications and Networks, 2022, Cham: Springer International Publishing, 3-33

[9]

Morozs N et al. (2020) Channel Modeling for Underwater Acoustic Network Simulation, 1–25. https://doi.org/10.24433/CO.1789096.v1.

[10]

Porta D. Underwater acoustic communications. Sea Technology, 1998, 39(2): 49-55

[11]

Rawat M, Lall B, Srirangarajan S. Angle of arrival distribution in an underwater acoustic communication channel with incoherent scattering. IEEE Access, 2020, 8: 133204-133211

[12]

Stojanovic M, Preisig J. Underwater acoustic communication channels: propagation models and statistical characterization. IEEE Communications Magazine, 2009, 47(1): 84-89

[13]

Widiarti Y, Yuning W, Suwadi, Wirawan, Titiek S (2018) A geometry-based underwater acoustic channel model for time reversal acoustic communication. Proceeding - IEEE 2018 International Seminar on Intelligent Technology and Its Application, ISITIA, 345–350. https://doi.org/10.1109/ISITIA.2018.8711067

[14]

Zhou J et al. (2019) Study of propagation channel characteristics for underwater acoustic communication environments. IEEE Access, 79438–79445. https://doi.org/10.1109/ACCESS.2019.2921808

[15]

Zhu X, Wang CX, Ma R (2021) A 2D non-stationary channel model for underwater acoustic communication systems. IEEE Vehicular Technology Conference, 0–5. https://doi.org/10.1109/VTC2021-Spring51267.2021.9448976

AI Summary AI Mindmap
PDF

164

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/