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Simulation of direct-sequence spread spectrum data transmission system for reliable underwater acoustic communications

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Języki publikacji
EN
Abstrakty
EN
Underwater acoustic communication (UAC) system designers tend to transmit as much information as possible, per unit of time, at as low as possible error rate. It is a particularly difficult task in a shallow underwater channel in which the signal suffers from strong time dispersion due to multipath propagation and refraction phenomena. The direct-sequence spread spectrum technique (DSSS) applied successfully in the latest standards of wireless communications, gives the chance of reliable data transmission with an acceptable error rate in a shallow underwater channel. It utilizes pseudo-random sequences to modulate data signals, and thus increases the transmitted signal resilience against the inter symbol interference (ISI) caused by multipath propagation. This paper presents the results of simulation tests of DSSS data transmission with the use of different UAC channel models using binary spreading sequences.
Rocznik
Strony
art. no. 2019108
Opis fizyczny
Bibliogr. 9 poz., wykr.
Twórcy
  • Gdansk University of Technology, Faculty of Electronics, Telecommunication and Informatics, Department of Marine Electronics Systems, G. Narutowicza 11/12, 80-233 Gdansk, Poland
  • Gdansk University of Technology, Faculty of Electronics, Telecommunication and Informatics, Department of Marine Electronics Systems, G. Narutowicza 11/12, 80-233 Gdansk, Poland
Bibliografia
  • 1. I. Kochanska, J. Schmidt, M. Rudnicki, Underwater Acoustic Communications in Time-Varying Dispersive Channels, Federated Conference on Computer Science and Information Systems, 8 (2016) 467 - 474.
  • 2. I. Kochanska, I. Nissen, J. Marszal, A method for testing the wide-sense stationary uncorrelated scattering assumption fulfillment for an underwater acoustic channel, The Journal of the Acoustical Society of America, 143(2), EL116 - EL120.
  • 3. R. A. Scholtz, The Origins of Spread-Spectrum Communications , IEEE Transactions on Communications, COM-30, No. 5, May 1982.
  • 4. H. J. Zepernick, A. Finger, Pseudo Random Signal Processing: Theory and Application, John Wiley & Sons Ltd, 2005.
  • 5. J. H. Fischer, R. Kendrick et al., A high data rate, underwater acoustic data communication transceiver, in Proc. Oceans ’92, Newport, RI.
  • 6. G. Loubet, V. Capellano, R. Filipiak, Underwater spread-spectrum communications, in Proc. Oceans ’97, Halifax, Canada.
  • 7. E. M. Sozer , et. al,. Direct sequence spread spectrum based modem for under water acoustic communication and channel measurements, Proceedings of Oceans ’99 MTS/IEEE, 1999.
  • 8. I. Kochanska, J. Schmidt, A. Schmidt, Measurement of impulse response of shallow water communication channel by correlation method, Hydroacoustics, 20 (2017) 149 - 158.
  • 9. I. Kochanska, J. Schmidt, Estimation of Coherence Bandwidth for Underwater Acoustic Communication Channel, Proceedings of 2018 Joint Conference - Acoustics, 2018.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-16fd73d7-a833-4fca-b304-a0c9d531ef0e
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