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Tytuł artykułu

Influence of SNR on determination of location of underwater object by means of acoustics method

Autorzy
Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Localisation of underwater sources is possible by means of measurements of the delay between signals, which are radiated by the source. There are many time delay estimation methods, one of them is the gradient type adaptive algorithm. One of estimation parameters is convergence coefficient, which influences on speed of the estimation process. Selection of the optimal value of this coefficient guarantees achievement of the estimated value of time delay in the shortest time. The value of this coefficient depends on received signals to noise ratio. In this paper has been shown time delay estimation with gradient type adaptive algorithm and factors, which influence on the value oj convergence coefficient. There also has been shown influence of SNR on working of the time delay estimation, which can be used in the underwater source localisation system. For research have been used real acoustics signals radiated by a moving ship.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
157--160
Opis fizyczny
Bibliogr. 5 poz., rys.
Twórcy
autor
  • Polish Naval Academy, Śmidowicza Str, 81-103 Gdynia, POLAND
Bibliografia
  • 1. Kozaczka E., Makar A.; Determination of the delay between underwater acoustic signals, XLIV Open Seminar on Acoustics, Jastrzębia Góra 1997.
  • 2. Kozaczka E., Makar A.; Determination of motion trajectories sources of underwater acoustic signals, XV Symposium on Hydroacoustics, Jurata 1998.
  • 3. Kozaczka E., Makar A.; Underwater Source Localisation System. 2 nd EAA International Symposium on Hydroacoustics, Gdańsk- Jurata 1999
  • 4. Vasilev V. N., Aidemirski P. P., Time Delay Estimation with Gradient Type Adaptive AIgotithm, Electronics Letters, vo1.26, nr 21, s. 1797-1798, 1990.
  • 5. Widrow B., Stearns S. D., Adaptive signal processing, Prentice-Hall, Englewood Cłiffs, New York, 1989.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-81c70921-ffb1-4bce-bd33-da63ed54a9f6
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