Adaptive identification of time-varying impulse response of underwater acoustic communication channel

• Autorzy: Kochańska I.
• Języki publikacji: EN

Abstrakty

EN

The transmission properties of underwater acoustic communication channel can change dynamically due to the movement of acoustic system transmitter and receiver or underwater objects reflecting transmitted signal. The time-varying impulse response measurement and estimation are necessary to match the physical layer of data transmission to instantaneous channel propagation conditions. Using the correlative measurement method, impulse response estimate can be obtained no more than the duration of the measurement sequence. The paper proposes a joint correlative measurement and adaptive filtration approach, applying the Kalman filter algorithm to increase the time-domain resolution of the time-varying impulse response estimation.

Słowa kluczowe

EN

transmission properties; time-varying impulse response; Kalman filter

• Wydawca: Polskie Towarzystwo Akustyczne. Oddział Gdański
• Czasopismo: Hydroacoustics
• Rocznik: 2015
• Tom: Vol. 18
• Strony: 87--94
• Opis fizyczny: Bibliogr. 11 poz., rys.

Twórcy

autor

Kochańska I.

• Gdansk University of Technology, ul. Narutowicza 11/12, 80-233 Gdansk, Poland

Bibliografia

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• [3] I. Kochanska, H. Lasota, Investigation of underwater channel time-variabiliy influence on the throughput ofOFDMdata transmission system, Proceedings on Meetings onAcoustics, POMA, 17, Acoustical Society of America, 2012.
• [4] E.Biglieri, Coding for Wireless Channels, Springer 2006.
• [5] P. Walree, Channel sounding for acoustic communications: techniques and shallow-water examples, FFI-rapport 2011/00007 2011.
• [6] R. Mazurek, H. Lasota, Application of maximum-length sequences to impulse response measurement of hydroacoustic communications systems, Hydroacoustics vol. 10 , pp. 123-130, 2007.
• [7] W. Li, Estimation and Tracking of Rapidly Time-Varying Broadband Acoustic Communication Channels, PhD thesis, Massachusetts Institute of Technology, 2006.
• [8] R. Isermann, M. Munchhof, Identification of Dynamic Systems, Springer 2011
• [9] I. Nissen, Adaptive Systems for Mobile Underwater Communications with a P(oste)riori Channel Knowledge, FWG report, Vol. 59, 2008.
• [10] J. Schmidt, Reliable underwater communication system for shallow coastal waters, Hydroacoustics vol. 17 , pp. 171-178, 2014
• [11] R. Salamon, J. Marszal, J. Schmidt, M. Rudnicki, Silent sonar with matched filtration, Hydroacoustics vol. 14 , pp. 199-208, 2011.