Suitable pilot search method for channel estimation in underwater acoustic OFDM systems

129 views

Authors

  • Nguyen Thi Nga Institute of Electronics, Academy of Military Science and Technology
  • Phan Huy Anh Institute of Electronics, Academy of Military Science and Technology
  • Cao Van Loi Faculty of Information Technology, Le Quy Don Technical University
  • Pham Thanh Hiep (Corresponding Author) Advanced Wireless Communications Group, Le Quy Don Technical University

DOI:

https://doi.org/10.54939/1859-1043.j.mst.89.2023.52-59

Keywords:

UWA-OFDM; Channel Estimation; LS; MMSE; Suitable Pilot Search.

Abstract

The underwater environment poses challenges to the Underwater Acoustic OFDM (UWA-OFDM) system, causing the tendency of lacking pilots to recover the channel impulse response (CIR). Our previous research (pilot enrichment estimator) supplemented potential pilots based on the distance to the nearest constellation point below a fixed threshold T. However, this does not guarantee that the extracted pilots have sufficiently good quality. Therefore, this article presents a suitable pilot search (SPS) method with the flexible threshold T and second minimum mean square error (MMSE) estimation to improve channel estimation effectiveness in UWA-OFDM systems. Our approach is compared to the MMSE and PE methods across various criteria, such as pilot spacing and different modulators. The experiments demonstrate that the SPS estimator performs better than the MMSE and PE techniques regarding bit error rate (BER).

Author Biographies

Nguyen Thi Nga, Institute of Electronics, Academy of Military Science and Technology

 

 

 

 

 

 

Phan Huy Anh , Institute of Electronics, Academy of Military Science and Technology

 

 

 

 

 

Cao Van Loi, Faculty of Information Technology, Le Quy Don Technical University

 

 

Pham Thanh Hiep, Advanced Wireless Communications Group, Le Quy Don Technical University

 

 

 

References

[1]. R. Diamant et al, “Low Probability of Detection for Underwater Acoustic Communication: A Review,” IEEE Access, Vol. 6, pp. 19 099–19 112 (2018). DOI: https://doi.org/10.1109/ACCESS.2018.2818110

[2]. P. Qarabaqi et al, “Statistical Characterization and Computationally Efficient Modeling of a Class of Underwater Acoustic Communication Channels,” IEEE J. Ocean. Eng., Vol. 38, no. 4 (2013), pp. 701–717. DOI: https://doi.org/10.1109/JOE.2013.2278787

[3]. G. Qiao et al, “MIMO-OFDM underwater acoustic communication systems - a review,” Physical Communication, Vol. 23, pp. 56–64 (2017). DOI: https://doi.org/10.1016/j.phycom.2017.02.007

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

[5]. J. Han et al, “Eigendecomposition-Based Partial FFT Demodulation for Differential OFDM in underwater acoustic communications,” IEEE Trans Veh Technol, Vol. 67, no. 7, pp. 6706–6710 (2018). DOI: https://doi.org/10.1109/TVT.2018.2813327

[6]. R. Jiang et al, “Modeling and analyzing of underwater acoustic channels with curvilinear boundaries in shallow ocean,” Proc. of ICSPCC, pp. 1–6 (2017). DOI: https://doi.org/10.1109/ICSPCC.2017.8242476

[7]. P. Vimala et al, “Pilot Design Strategies for Block Sparse Channel Estimation in OFDM Systems,” Indian journal of science and technology, Vol. 10, pp. 1–6 (2017). DOI: https://doi.org/10.17485/ijst/2017/v10i24/110694

[8]. S. Zhoun et al, “OFDM for Underwater Acoustic Communications.” John Wiley Sons (2014). DOI: https://doi.org/10.1002/9781118693865

[9]. R. Srividhya et al, “Channel Estimation for OFDM Systems Using MMSE and LS Algorithms,” Proc. Of ICOEI, Tirunelveli, India, pp. 1-5 (2022). DOI: https://doi.org/10.1109/ICOEI53556.2022.9777139

[10]. A. S. Ahmed et al, “Channel Estimation using LS and MMSE Channel Estimation Techniques for MIMO-OFDM Systems,” Proc. of HORA, Ankara, Turkey, pp. 1-6 (2022). DOI: https://doi.org/10.1109/HORA55278.2022.9799887

[11]. J. A. Fernandez et al, “Performance of the 802.11p Physical Layer in Vehicleto-Vehicle Environments,” IEEE Transactions on Vehicular Technology, Vol. 61, no. 1, pp. 3–14 (2012). DOI: https://doi.org/10.1109/TVT.2011.2164428

[12]. Z. Zhao et al, “Channel Estimation Schemes for IEEE 802.11p Standard,” IEEE Intelligent Transportation Systems Magazine, Vol. 5, no. 4, pp. 38–49 (2013). DOI: https://doi.org/10.1109/MITS.2013.2270032

[13]. K. Yoon et al, “Time and frequency domain channel estimation scheme for IEEE 802.11p,” Proc. of ITSC, pp. 1085–1090 (2014).

[14]. A. K. Gizzini et al, “Low Complex Methods for Robust Channel Estimation in Doubly Dispersive Environments,” in IEEE Access, Vol. 10, pp. 34321-34339 (2022). DOI: https://doi.org/10.1109/ACCESS.2022.3162928

[15]. M. Murad et al, “Pilots based LSE Channel Estimation for Underwater Acoustic OFDM Communication,” Proc. of GCWOT, Malaga, Spain, pp. 1-6 (2020). DOI: https://doi.org/10.1109/GCWOT49901.2020.9391633

[16]. W. Chen et al, “Channel Estimation for OFDM Underwater Acoustic Communications via Orthogonal Approximate Message Passing,” Proc. of ICSPCC, Xi'an, China, pp. 1-5 (2022). DOI: https://doi.org/10.1109/ICSPCC55723.2022.9984369

[17]. Yaohui Wu et al, “Adaptive Channel Estimation for Underwater Acoustic OFDM System in Impulsive Noise Environment,” Wirel Commun Mob Comput, Vol. 2022, no. 1455526 (2022). DOI: https://doi.org/10.1155/2022/1455526

[18]. A. Kumar, “A new optimized least-square sparse channel estimation scheme for underwater acoustic communication,” Int J Commun Syst., Vol. 36, no. 6, e5436 (2023). DOI: https://doi.org/10.1002/dac.5436

[19]. T. N. Nguyen et al, “Pilot Enrichment Methods for Improving Quality of Received Signal in Underwater Acoustic OFDM Systems,” Proc. of ATC, Hanoi, Vietnam, pp. 401– 406 (2022). DOI: https://doi.org/10.1109/ATC55345.2022.9943030

[20]. S. Coleri et al, “Channel estimation techniques based on pilot arrangement in OFDM systems,” in IEEE Transactions on Broadcasting, Vol. 48, no. 3, pp. 223-229 (2022). DOI: https://doi.org/10.1109/TBC.2002.804034

[21]. M. B. Porter, “The BELLHOP manual and user’s guide: Preliminary draft,” Heat, Light, and Sound Research, Inc., La Jolla, CA, USA, Tech. Rep, Vol. 260 (2011).

Downloads

Published

25-08-2023

How to Cite

Thi Nga, N., H. A. Phan, V. L. Cao, and T. H. Pham. “Suitable Pilot Search Method for Channel Estimation in Underwater Acoustic OFDM Systems”. Journal of Military Science and Technology, vol. 89, no. 89, Aug. 2023, pp. 52-59, doi:10.54939/1859-1043.j.mst.89.2023.52-59.

Issue

Section

Research Articles

Categories

Most read articles by the same author(s)