A comparative analysis of LS and MMSE channel estimation techniques for underwater acoustic OFDM systems

Authors

  • Nguyen Thi Nga (Corresponding Author) Viện Điện tử, Viện KH-CN quân sự
  • Phan Huy Anh Viện Điện tử, Viện KH-CN quân sự
  • Nguyen Thi Huyen Học viện Kỹ thuật quân sự
  • Do Thanh Quan Học viện Kỹ thuật quân sự
  • Vu Hai Lang Viện Điện tử, Viện KH-CN quân sự
  • Tran Quang Giang Viện Điện tử, Viện KH-CN quân sự
  • Dinh Thi Thuy Duong Phòng Quản lý KHCN, Viện KH-CN quân sự
  • Pham Thanh Hiep Học viện Kỹ thuật quân sự

Keywords:

Channel estimation, OFDM, UWA-OFDM, LS, MMSE

Abstract

This article presents typical methods to improve the accuracy of channel estimation in underwater acoustic OFDM systems. The transmission of information in the underwater acoustic communication system is greatly affected by environmental factors, the quality of the underwater acoustic OFDM system depends heavily on the channel state information. The paper analyzes channel estimation techniques according to two algorithms LS and MMSE to evaluate the effectiveness of usability for acoustic underwater communication systems. The result shows that the MMSE algorithm is better than the LS algorithm with the requirements of channel state information.

References

J. Preisig et al., “Acoustic propagation considerations for underwater acoustic communications network development,” Acm Sigmobile Mobile Computing & Communications Review, vol. 11, no. 4 (2007), pp. 2–10.

M. Stojanovic et al., “Underwater acoustic communication channels: Propagation models and statistical characterization,” IEEE Communications Magazine, vol. 47, no. 1 (2009), pp. 84–89.

R. Diamant et al., “Low probability of detection for underwater acoustic communication: A review,” IEEE Access, vol. 6 (2018), pp. 19 099– 19 112.

G. Qiao et al., “MIMO-OFDM underwater acoustic communication systems - a review,” Physical Communication, vol. 23 (2017), pp. 56–64.

T. X. Lufen Xu, “Digital Underwater Acoustic Communications,” 1st ed. Academic Press (2017).

R. v. Nee, “OFDM for wireless multimedia communications,” Artech House, Inc., 2000.

R. Jiang et al., “Modeling and analyzing of underwater acoustic channels with curvilinear boundaries in shallow ocean,” in 2017 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Oct (2017), pp. 1–6.

P. C. Etter, “Underwater acoustic modeling and simulation,” CRC Press, 2018.

R. Prasad, “OFDM for Wireless Communications Systems,” Artech House, 2004.

B. Li et al., “Multicarrier communication over underwater acoustic channels with nonuniform doppler shifts,” IEEE Journal of Oceanic Engineering, vol. 33, no. 2 (2008), pp. 198–209.

P. Vimala et al., “Pilot design strategies for block sparse channel estimation in OFDM systems,” Indian Journal of Science and Technology, vol. 10, no. 24 (2017).

Y. Liu et al., “Channel estimation for OFDM,” IEEE Communications Surveys & Tutorials, vol. 16, no. 4 (2014), pp. 1891–1908.

A. B. Singh et al., “Performance evaluation of MMSE and LS channel estimation in OFDM system,” International Journal of Engineering Trends and Technology (IJETT), vol. 15, no. 1 (2014), pp. 39–43.

M. B. Sutar et al., “LS and MMSE estimation with different fading channels for OFDM system,” in International conference of Electronics, Communication and Aerospace Technology (ICECA), vol. 1. IEEE (2017), pp. 740–745.

M. B. Porter et al., “Gaussian beam tracing for computing ocean acoustic fields,” The Journal of the Acoustical Society of America, vol. 82, no. 4 (1987), pp. 1349–1359.

M. B. Porter, “The BELLHOP manual and user’s guide: Preliminary draft,” Heat (2011).

L. Liu, Y. Zhang et al., “PN sequence based doppler and channel estimation for underwater acoustic OFDM communication,” in IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC). IEEE (2016), pp. 1–6.

W. Zuofu et al., “An improved sparse underwater acoustic OFDM channel estimation method based on joint sparse model and exponential smoothing,” (2017), pp. 1–6.

P. Chen et al., “Joint channel estimation and impulsive noise mitigation in underwater acoustic OFDM communication systems,” IEEE Transactions on Wireless Communications, vol. 16, no. 9 (2017), pp. 6165–6178.

Yong Soo Cho et al., “MIMO-OFDM Wireless Communications with MATLAB,” Wiley (2010).

Nils Morozs et al., “Channel Modeling for Underwater Acoustic Network Simulation,” IEEE Communications surveys & tutorials (2020).

D. V. Ha et al., “Methods of designing shallow underwater acoustic channel simulators,” Acoustics Australia (2016), pp. 439–448.

Published

01-11-2021

How to Cite

[1]
N. Nguyen Thi, “A comparative analysis of LS and MMSE channel estimation techniques for underwater acoustic OFDM systems”, J. Mil. Sci. Technol., no. CBNCT, pp. 40–46, Nov. 2021.

Issue

Section

Research Articles