Open Access Journal

ISSN : 2395-2717 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Electrical and Electronic Engineering(IJEREEE)

Monthly Journal for Electrical and Electronic Engineering

ISSN : 2395-2717 (Online)

Channel Estimation and Modelling for Underwater Acoustic Sensor Network

Author : Jyotsna W. Chavhan 1 G. G. Sarate 2

Date of Publication :28th March 2018

Abstract: Underwater wireless communication is a rapidly growing area of research and engineering. Various scientists are exploring fundamental aspects of Underwater Acoustic Communication for various underwater applications like Oceanographic data collection, Pollution monitoring, offshore exploration, Disaster prevention, Assisted Navigation, Tactical Surveillance, and Mine Reconnaissance. To achieve this objective, sensors and vehicles self-organize in an autonomous network, which can adapt to the characteristics of the ocean environment. The above-described features enable a broad range of applications for underwater acoustic sensor networks. Acoustic communication transmission technology is used for this UWASN (Underwater Acoustic Sensor Network), but still, due to the physical properties of the propagation medium, underwater acoustic signals suffer from severe transmission loss, time-varying multipath propagation, Doppler spread, limited and distance-dependent bandwidth, and high propagation delay. Also, waves under the water are scattered and propagate very slow which produces the propagation delay in it. The scattering nature of underwater communication channel raised the problem of multipath fading, Doppler delay, Doppler shift and Doppler spread. The proposed system gives the maximum possible solution to all these issues using maximum entropy modeling method where the channel is modeled based on the Gaussian distribution for the rapidly time-varying delay factor. In this method, the Doppler spread is identified between the transmitted signal and the received signal. Also, as the communication under the water gives scattering nature of transmission, the bit transmission rate and bit error rate are calculated based on channel transmission scheme using OFDM.

Reference :

    1. Ms. Jyotsna W. Chavhan, Department of Electronics Engineering, K.D.K., Dr. G. G. Sarate, Senior Lecturer, Govt. Polytechnic, Amravati (MS), India, “Smart Antenna Approach in Underwater Acoustic Sensor Network using OFDM: A Review”, Published in: Green Computing, Communication and Conservation of Energy (ICGCE), 2013 International Conference 2014 Dec. 2013, 155 – 158 INSPEC Accession Number: 14335715 DOI: 10.1109/ICGCE 2013.6823419 by IEEE Explorer.
    2. Ms. Jyotsna W. Chavhan, Department of ElectronicsEngineering, K.D.K. Polytechnic, Amravati (MS), India, “Scattering Function Estimation for Underwater Acoustic Sensor Network”, Published in International Journal of Industrial Electronics and Electrical Engineering (IJIEEE), ISSN: 2347-6982, June 2015, pp 90-92
    3. Abraham Boayue, “Characterization of Underwater Acoustic Communication Channels, Statistical Characteristics of the Underwater”, Master of Science in Communication Technology, Norwegian University of Science and Technology, Department of Electronics and Telecommunications, 26th August 2013
    4. Franc¸ois-Xavier Socheleau, Student Member, IEEE, Christophe Laot, Member, IEEE, and Jean-Michel Passerieux.,” Concise Derivation of Scattering Function from Channel Entropy Maximization, Draft, 30th April’2010
    5. Arjun Thottappilly, “OFDM for Underwater Acoustic Communication”, Master of Science in Electrical Engineering, Blacksburg, Virginia, 17th August’ 2011.
    6. Roald Otnes, Paul van Walree, Trond Jenserud Norwegian Defence Research Establishment (FFI), PO box 115, 3191 Horten, Norway,”Validation Methods for Underwater Acoustic Communication Channel Simulators”.
    7. Y. Yorozu, M. Hirano, K. Oka, and Y. Tagawa, “Electron spectroscopy studies on magneto-optical media and plastic substrate interface,” IEEE Transl. J. Magn. Japan, vol. 2, pp. 740-741, August 1987 [Digests 9th Annual Conf. Magnetics Japan, p. 301, 1982].
    8. M. Young, The Technical Writer’s andbook. Mill Valley, CA: University Science, 1989.
    9. Knut Grythe, Jan Erik Hakegard at IEEE Jorunal2009, Non-perfect Channel Etimation in OFDMMIMO based Underwater Communication.
    10. Lance Linton, Phillip Conder, and Michael Faulkner, Center for Telecommunications and MicroElectronics (CTME), Victoria University, Melbourne, Australia, “Multiuser Communications for underwater Acoustic Networks using MIMO-OFDMIDMA

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