A stochastic underwater acoustic channel model

被引:0
|
作者
Galvin, R
Coates, RFW
机构
关键词
D O I
暂无
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The overall aim of the research outlined in this paper is to realise a flexible microprocessor channel simulator utilising measured characteristics as the basis for the model. Experimentation carried out in the coastal area of Cap Ferrat in the south of France, described in a companion paper elsewhere [1], indicated the necessity for a channel simulator which could reproduce the multifaceted phenomena experienced by the received signal but under controlled laboratory conditions. A communication system can thereby be tested before undertaking yet more costly field experiments. The Differentially Phase Shift Keyed (DPSK) system under investigation employs parametric transduction with primary frequencies equal to 50 & 55 kHz to develop a modulated carrier at the difference frequency. The transmitter was deployed in deep water, and propagation was in free field conditions. The received signal suffered from severe fading (rapid fluctuations in both amplitude and phase) and high levels of noise. It is the characteristics of these fluctuations which are of most interest and are used as the basis for the simulation. These fluctuations are modelled by the generation of specific stochastic processes using a combination of linear and nonlinear transformations on a Gaussian variable. The ensuing performance, characterised by the bit error rate for various symbol rates, can then be calculated. The validity of this approach is confirmed by comparing the predicted performance under such conditions with established theory for phase modulated signals operating in a Rayleigh fading channel.
引用
收藏
页码:203 / 210
页数:8
相关论文
共 50 条
  • [21] Attack Simulation Model and Channel Statistics in Underwater Acoustic Sensor Networks
    Nan Jing Weihong Bi Qing Yue College of Information Science and EngineeringYanshan UniversityQinhuangdao ChinaQinhuangdao City Public Security BureausQinhuangdao China
    Tsinghua Science and Technology, 2011, 16 (06) : 611 - 621
  • [22] Analysis of Acoustic Channel in Underwater Acoustic Sensor Network
    Krishnaswamy, Vani
    Manvi, Sunilkumar S.
    2015 IEEE INTERNATIONAL ADVANCE COMPUTING CONFERENCE (IACC), 2015, : 233 - 236
  • [23] Acoustic Underwater Channel and Network Simulator
    Wolff, Lars Michael
    Szczepanski, Erik
    Badri-Hoeher, Sabah
    OCEANS, 2012 - YEOSU, 2012,
  • [24] For sparse underwater acoustic channel equalization
    Institute of Acoustic Engineering, Northwestern Polytechnical University, Xi'an 710072, China
    不详
    Dianzi Yu Xinxi Xuebao, 2006, 6 (1009-1012):
  • [25] Underwater Acoustic Channel Modeling in Harbors
    Petroni, Andrea
    Biagi, Mauro
    OCEANS 2019 - MARSEILLE, 2019,
  • [26] Characterization of underwater acoustic communication channel
    Malarkodi, A.
    Lathaa, G.
    Srinivasanb, S.
    INDIAN JOURNAL OF GEO-MARINE SCIENCES, 2020, 49 (08) : 1323 - 1329
  • [27] Underwater acoustic MIMO channel capacity
    Zatman, M
    Tracey, B
    THIRTY-SIXTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS - CONFERENCE RECORD, VOLS 1 AND 2, CONFERENCE RECORD, 2002, : 1364 - 1368
  • [28] A stochastic nonlinear differential propagation model for underwater acoustic propagation: Theory and solution
    Yao Haiyang
    Wang Haiyan
    Zhang Zhichen
    Xu Yong
    Kurths, Juergen
    CHAOS SOLITONS & FRACTALS, 2021, 150
  • [29] Investigation on underwater positioning stochastic model based on acoustic ray incidence angle
    Zhao, Shuang
    Wang, Zhenjie
    He, Kaifei
    Ding, Ning
    APPLIED OCEAN RESEARCH, 2018, 77 : 69 - 77
  • [30] A stochastic nonlinear differential propagation model for underwater acoustic propagation: Theory and solution
    Haiyang, Yao
    Haiyan, Wang
    Zhichen, Zhang
    Yong, Xu
    Kurths, Juergen
    Chaos, Solitons and Fractals, 2021, 150