基于气泡群水下信道的高阶QAM误码性能研究
Research on High-Order QAM Error Performance Based on Bubble Group Underwater Channel
摘要: 水下无线光通信(UWOC)由于其应用广泛是近年的研究热点，水下无线光通信中气泡对激光光束传播的影响降低了通信系统的性能。高斯混合模型很好地表征了气泡在水下环境中的强度波动。为了追求更好的通信效果，针对服从高斯混合模型的水下无线光通信信道，研究了使用高阶正交振幅调制(QAM)的水下无线光通信系统的误码率(BER)性能。考虑了不同气泡密度即水下信道中不同空气流速对系统性能的影响，使用不同阶数的QAM方法进行分析。同时也分析了QAM调制解调结合(7,4)汉明码下的误码性能，对通信性能起到了一定的改善作用。
Abstract: Underwater wireless optical communication (UWOC) is a research hotspot in recent years due to its wide application. The influence of bubbles on laser beam propagation in underwater wireless optical communication reduces the performance of communication system. The Gaussian mixture model well characterizes the intensity fluctuation of bubbles in underwater environment. In order to pursue better communication effect, the bit error rate (BER) performance of underwater wire-less optical communication system using high-order quadrature amplitude modulation (QAM) is studied for underwater wireless optical communication channel obeying Gaussian mixture model. Considering the influence of different bubble densities, that is, different air velocities in the under-water channel, on the system performance, the QAM method of different orders is used for analysis. At the same time, the error performance of QAM modulation and demodulation combined with (7,4) Hamming code is also analyzed, which improves the communication performance.
文章引用：马翠兰, 项澜, 安移. 基于气泡群水下信道的高阶QAM误码性能研究[J]. 应用物理, 2023, 13(4): 81-88. https://doi.org/10.12677/APP.2023.134009

参考文献

[1] Ali, M.F., Jayakody, D.N.K. and Li, Y. (2022) Recent Trends in Underwater Visible Light Communication (UVLC) Systems. IEEE Access, 10, 22169-22225. [Google Scholar] [CrossRef] 
[2] Saeed, N., Celik, A., Al-Naffouri, T.Y. and Alouini, M.-S. (2019) Underwater Optical Wireless Communications, Networking, and Localization: A Survey. Ad Hoc Networks, 94, Article ID: 101935. [Google Scholar] [CrossRef] 
[3] Mishra, G. and Kurmi, J. (2018) A Survey of Underwater Communication. International Research Journal of Engineering and Technology, 5, 616-618.
[4] Amantayeva, A., Yerzhanova, M. and Kizilirmak, R.C. (2018) Multiuser MIMO for Underwater Visible Light Communication. 2018 International Conference on Computing and Network Communications (CoCoNet), Astana, 15-17 August 2018, 164-168. [Google Scholar] [CrossRef] 
[5] Jamali, M.V., Nabavi, P. and Salehi, J.A. (2018) MIMO Underwater Visible Light Communications: Comprehensive Channel Study, Performance Analysis, and Multiple-Symbol Detection. The IEEE Transactions on Vehicular Technology, 67, 8223-8237. [Google Scholar] [CrossRef] 
[6] Wölfl, A.-C., Snaith, H., Amirebrahimi, S., et al. (2019) Seafloor Mapping—The Challenge of a Truly Global Ocean Bathymetry. Frontiers in Marine Science, 6, 283. [Google Scholar] [CrossRef] 
[7] Al-Kinani, A., Wang, C.-X., Zhou, L. and Zhang, W. (2018) Optical Wireless Communication Channel Measurements and Models. IEEE Communications Surveys & Tutorials, 20, 1939-1962. [Google Scholar] [CrossRef] 
[8] 董涵, 柏桂枝. 水下无线通信技术发展研究综述[J]. 科技视界, 2022(24): 25-27.
[9] Singh, M., Singh, M.L., Singh, G., et al. (2021) Statistical Channel Model for Un-derwater Wireless Optical Communication System under a Wide Range of Air Bubble Populations. Optical Engi-neering, 60, Article ID: 036111. [Google Scholar] [CrossRef] 
[10] Zedini, E., Oubei, H.M., Kammoun, A., Hamdi, M., Ooi, B.S. and Alouini, M.-S. (2019) Unified Statistical Channel Model for Turbulence-Induced Fading in Underwater Wireless Optical Communication Systems. IEEE Transactions on Communications, 67, 2893-2907. [Google Scholar] [CrossRef] 
[11] 龚从安, 胡芳仁, 赵晓燕, 等. 基于OOK调制的水下高速激光通信系统设计与实现[J]. 光通信技术, 2023, 47(1): 13-16.
[12] Huang, A., Tao, L. and Jiang, Q. (2018) BER Performance of Underwater Optical Wireless MIMO Communications with Spatial Modulation under Weak Turbulence. 2018 OCEANS—MTS/IEEE Kobe Techno-Oceans (OTO), Kobe, 28-31 May 2018, 1-5. [Google Scholar] [CrossRef] 
[13] Phookan, P.P. and Anees, S. (2020) Performance Analysis of Distributed Alamouti Based UWOC System. 2020 3rd International Conference on Advanced Com-munication Technologies and Networking (CommNet), Marrakech, 4-6 September 2020, 1-5. [Google Scholar] [CrossRef] 
[14] Nath, N. and Anees, S. (2020) Performance Analysis of SIMO-UWOC System. 2020 IEEE International Conference on Advanced Networks and Telecommu-nications Systems (ANTS), New Delhi, 14-17 December 2020, 1-4. [Google Scholar] [CrossRef] 
[15] Uppalapati, A., Naik, R.P. and Krishnan, P. (2020) Analysis of M-QAM Modulated Underwater Wireless Optical Communication System for Reconfigurable UOWSNs Employed in River Meets Ocean Scenario. IEEE Transactions on Vehicular Technology, 69, 15244-15252. [Google Scholar] [CrossRef] 
[16] Ata, Y., Yao, J. and Korotkova, O. (2021) BER Variation of an Optical Wireless Communication System in Underwater Turbulent Medium with Any Temperature and Salinity Concentration. Optics Communications, 485, Article ID: 126751. [Google Scholar] [CrossRef] 
[17] 王旖晴, 宋仕斌, 王韵江, 等. Wi-Fi7技术分析与应用场景研究[J]. 通信与信息技术, 2022(5): 25-28.
[18] 胡钧铭, 杨建军. 可靠度蒙特卡洛仿真教学研究[J]. 实验室科学, 2021, 24(4): 41-45.
[19] Xu, Y., Wang, P., et al. (2012) Generating Method Study of Gaussian Mixture Pro-cesses. 4th International Conference on Digital Image Processing (ICDIP 2012), Vol. 8334, 83342E. [Google Scholar] [CrossRef] 

为你推荐