Research on the construction and application of polar codes for shallow water acoustic communication

被引:0
|
作者
Xing L. [1 ]
Li Z. [1 ]
Huang Y. [1 ]
机构
[1] State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an
来源
Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University | 2024年 / 51卷 / 02期
关键词
Monte Carlo construction; OFDM; polar codes; underwater acoustic communication;
D O I
10.19665/j.issn1001-2400.20230505
中图分类号
学科分类号
摘要
To realize high speed and high-reliability communication in shallow water environments, the performance of polar code encoding and decoding technology in shallow water acoustic communication is studied. The Monte Carlo algorithm construction is used to complete the construction of polar codes on the time-invariant, quasi-stationary, and time-variant channel models established based on the ray acoustic theory, and the complexity and performance are compared with those of the channel polarization and channel degradation construction algorithms and the base-symmetric extended polarization weight construction algorithm. The constructed polar code is adopted as the channel coding scheme for the underwater acoustic communication system based on Orthogonal Frequency Division Multiplexing and the decoding scheme uses a Cyclic Redundancy Check-Aided Successive Cancellation List decoding algorithm. The performance of polar codes on these three channels is determined by simulation in comparison with the performance of Low-Density Parity Check codes with the same code length and code rate. Experimental results show that in these three channels and the range of the signal-to-noise ratio of interest, polar codes have a gain of about 0.5 dB ~ 1.2 dB relative to Low-Density Parity Check codes. Simulation comparison results of the three channels show that polar codes based on channel construction coding have better gain effects in harsh channel environments compared to Low-Density Parity Check codes, and that polar codes have a lower encoding and decoding complexity, which proves the competitiveness and broad application prospect of the polar code in energy and resource-limited shallow sea acoustic communication. © 2024 Science Press. All rights reserved.
引用
收藏
页码:116 / 125
页数:9
相关论文
共 19 条
  • [1] RAHMATI M, PETROCCIA R, POMPILI D., In-Network Collaboration for CDMA-Based Reliable Underwater Acoustic Communications, IEEE Journal of Oceanic Engineering, 44, 4, pp. 881-894, (2019)
  • [2] RADOSEVIC A, PROAKIS J G, STOJANOVIC M., Statistical Characterization and Capacity of Shallow Water Acoustic Channels [C], OCEANS 2009—EUROPE, pp. 1-8, (2009)
  • [3] PRANITHA B, ANJANEYULU L., Review of Research Trends in Underwater Communications—A Technical Survey, 2016 International Conference on Communication and Signal Processing (ICCSP), pp. 1443-1447, (2016)
  • [4] MURAD M, TASADDUQ I A, OTERO P., Pilot-Assisted OFDM for Underwater Acoustic Communication, Journal of Marine Science and Engineering, 9, 12, (2021)
  • [5] ALTABBAA M T., Pilot Assisted MIMO-OFDM-IM Design for Time-Varying Underwater Acoustic Communications [J], Wireless Personal Communications, 121, pp. 399-409, (2021)
  • [6] SANG Enfang, XU Xiaoka, QIAO Gang, Et al., Application Study of Turbo Code for Underwater Acoustic Communication Based on OFOM, Journal of Harbin Engineering University, 30, 1, pp. 60-66, (2009)
  • [7] JEON H W, LEE S J, LEE H N., LDPC Coded OFDM System Design and Performance Verification on A Realistic Underwater Acoustic Channel Model, 2011 Military Communications Conference (MILCOM), pp. 2200-2204, (2011)
  • [8] ARIKAN E., Channel Polarization: A Method for Constructing Capacity-Achieving Codes for Symmetric Binary-Input Memoryless Channels, IEEE Transactions on Information Theory, 55, 7, pp. 3051-3073, (2009)
  • [9] ZHANG Meng, LI Zhuo, XING Lijuan, Weighted Sum Codes-Aided SCL Decoding of Polar Codes, Journal of Xidian University, 47, 6, pp. 66-71, (2020)
  • [10] YANG Binbin, YAN Shefeng, Radix Symmetric Spread Channel Polarization Algorithm and Its Application in OFDM Underwater Acoustic Communication [I], Journal of Signal Processing, 37, 7, pp. 1133-1141, (2021)