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A new direct-sequence spread spectrum signal detection method for underwater acoustic communications in shallow-water channel

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Języki publikacji
EN
Abstrakty
EN
Direct-Sequence Spread Spectrum (DSSS) is one of the modulation and coding techniques used in Underwater Acoustic Communication (UAC) systems for reliable data transmision even at low signal levels. However, in a shallow water channel, there is a strong multipath propagation which causes a phase fluctuation of the received signal, affecting the performance of the spread-spectrum system. The article presents a differential method for DSSS signal detection. It is based on the calculation of the correlation coefficient of adjacent segments of signal at the output of filter matched to the spreading sequence used in the transmitter. A positive value of the correlation coefficient means that a given modulation symbol carries the same information bit as the previous one; a negative value means that the opposite bit has been transmitted. The reliability of the proposed method has been compared to classical method of DSSS signal detection, which consists in detecting the information directly from the signal at the output of the matched filter. Simulation and measurement tests of underwater acoustic communications in strong multipath propagation conditions have shown that the proposed method allows obtaining lower values of the DSSS transmission Bit Error Rate (BER) than the classical detection technique while maintaining the same data transmission rate.
Rocznik
Strony
art. no. 2021106
Opis fizyczny
Bibliogr. 11 poz., 1 il. kolor., rys., wykr.
Twórcy
  • Politechnika Gdańska, Wydział Elektroniki, Telekomunikacji i Informatyki, ul. G. Narutowicza 11/12, 80-233 Gdańsk
Bibliografia
  • 1. B. Katsnelson, V. Petnikov, J. Lynch. Fundamentals of Shallow Water Acoustics. Springer, 2012.
  • 2. J.H. Schmidt, A.M. Schmidt, I. Kochanska. Performance of Coherent Modulation Scheme Used in Acoustic Underwater Communication System. Vibrations in Physical Systems, 30(1):2019135, 2019.
  • 3. R. A. Scholtz, The Origins of Spread-Spectrum Communications. IEEE Transactions on Communications, 30(5):822-854, 1982.
  • 4. H. J. Zepernick, A. Finger, Pseudo Random Signal Processing: Theory and Application, John Wiley & Sons Ltd. 2005.
  • 5. J. H. Schmidt, Using Fast Frequency Hopping Technique to Improve Reliability of Underwater Communication System. Appl. Sci., 10(3):1172, 2020.
  • 6. I. Kochańska, J. H. Schmidt, Simulation of direct-sequence spread spectrum data transmission system for reliable underwater acoustic communications, Vibrations in Physical Systems, 30(1):2019108, 2019.
  • 7. P. Du, X. Zhu, Y. Li, Direct Sequence Spread Spectrum Underwater Acoustic Communication Based on Differential Correlation Detector, 2018 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Qingdao, China, 2018. DOI: 10.1109/ICSPCC.2018.8567803
  • 8. H. Cui, C. Liu, X. Hong, J. Wu, and D. Sun, An Improved BICM-ID Receiver for the Time-Varying Underwater Acoustic Communications with DDPSK Modulation, 2020 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Macau, China, 2020. DOI: 10.1109/ICSPCC50002.2020.9259494
  • 9. P. Du, S. Xiong, C. Wang, Research on mobile spread spectrum underwater acoustic communication, 2019 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Dalian, China, 2019. DOI: 10.1109/ICSPCC46631.2019.8960756
  • 10. I. Kochańska , R. Salamon , J. Schmidt , A. Schmidt, Study of the Performance of DSSS UAC System Depending on the System Bandwidth and the Spreading Sequence, Sensors, 21(7):2484, 2021.
  • 11. P. van Walree, F. X. Socheleau, R. Otnes, T. Jenserud. The Watermark Benchmark for Underwater Acoustic Modulation Schemes, IEEE Journal of Oceanic Engineering, 42(4):1007-1018, 2017.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d761dbe2-3af6-4f8d-9fdf-6e16989410ef
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