Performance analysis of turbo-coded MIMO-OFDM system for underwater communication

被引:9
作者
Iruthayanathan, Nelson [1 ]
Vishvaksenan, K. S. [2 ]
Rajendran, V. [3 ]
Mohankumar, Saisrinivasan [4 ]
机构
[1] Anna Univ, SSN Coll Engn, Dept Elect & Commun Engn, Madras 600025, Tamil Nadu, India
[2] SSN Coll Engn, Dept Elect & Commun Engn, Madras, Tamil Nadu, India
[3] SSN Coll Engn, Dept Phys, Madras, Tamil Nadu, India
[4] Cornell Univ, Dept Elect & Comp Engn, Ithaca, NY 14853 USA
关键词
Minimum-Mean-Square-Error; Ordered successive interference cancellation; Vertical bell laboratories layered space-time architecture; Zero-Forcing;
D O I
10.1016/j.compeleceng.2015.01.018
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, we investigate the performance of a coded multiple-input multiple-output (MIMO) multi-carrier (MC) system in underwater communication, where acoustic interference and ambient noise are the two major channel impairments. The channel model considered in this work is based on the shallow water model that has eleven paths. In our work, the acoustic signal is spread with the aid of a high rate spreading sequence to alleviate the effects of acoustic interference. At the receiver, non-linear detectors based on Zero-Forcing (ZF) and Minimum-Mean-Square-Error (MMSE) are employed for signal detection. The simulation results reveal that the system under consideration with the MMSE detector provides better performance in terms of the achievable bit error rate than the system with the ZF detector while achieving higher data rates. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1 / 8
页数:8
相关论文
共 19 条
  • [11] Optimisation of the pilot-to-data power ratio in the wireless MIMO-OFDM system with low-complexity MMSE channel estimation
    Golovins, Eugene
    Ventura, Neco
    COMPUTER COMMUNICATIONS, 2009, 32 (03) : 465 - 476
  • [12] Performance Analysis of Underwater-Wireless Communication With Zero Forcing Precoder
    Alfitouri, Abdurrahman
    Hamdi, Khairi Ashour
    Hadi, Ammar
    Alkhaled, Makram
    2017 IEEE INTERNATIONAL BLACK SEA CONFERENCE ON COMMUNICATIONS AND NETWORKING (BLACKSEACOM), 2017, : 21 - 25
  • [13] Performance Analysis of MIMO System Utilizing the Detection Algorithm
    Ahn, Sungsoo
    Lee, Dongyoung
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2011, PT IV, 2011, 6785 : 248 - 257
  • [14] Channel Estimation Method for OFDM Communication System using Adaptive Singular Spectrum Analysis
    Vasylyshyn, Volodymyr
    2020 IEEE 40TH INTERNATIONAL CONFERENCE ON ELECTRONICS AND NANOTECHNOLOGY (ELNANO), 2020, : 884 - 887
  • [15] Performance Analysis for the N-Continuous Precoded SM-OFDM System
    Xiao, Yue
    Yu, Feng
    Lei, Xia
    He, Dongxiao
    Yang, Ping
    Xiang, Wei
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2018, 67 (01) : 483 - 493
  • [16] Performance Analysis of Open Loop MIMO PLC System Based on Two Sided Jacobi
    Kilani, Hasna
    Tlich, Mohamed
    Attia, Rabah
    2015 World Congress on Information Technology and Computer Applications (WCITCA), 2015,
  • [17] Performance and detection of interleaved OFDM-based transform domain communication system in multi-user cognitive radio context
    Han, Chuan
    Wang, Jun
    Li, Shaoqian
    2007 2ND INTERNATIONAL CONFERENCE ON COGNITIVE RADIO ORIENTED WIRELESS NETWORKS AND COMMUNICATIONS, 2007, : 285 - 290
  • [18] Performance Analysis of Linear and Hybrid Precoding on Massive MIMO System Using Truncated Polynomial Expansion
    Thurpati, Sammaiah
    Muthuchidamabaranathan, P.
    WIRELESS PERSONAL COMMUNICATIONS, 2022, 126 (02) : 1129 - 1144
  • [19] Performance Analysis of Linear and Hybrid Precoding on Massive MIMO System Using Truncated Polynomial Expansion
    Sammaiah Thurpati
    P. Muthuchidamabaranathan
    Wireless Personal Communications, 2022, 126 : 1129 - 1144