Application of Kalman Filter to Noise Reduction in Multichannel Data

• Autorzy: Leśniak A. , Danek T. , Wojdyła M.
• Języki publikacji: EN

Abstrakty

EN

The results of application of multichannel Kalman filtering to reduction of uncorrelated noise in magnetotelluric recordings are discussed in this article. Magnetotelluric method of Earth structure recognition is shortly presented together with the its most popular measurement method called the remote reference method. The basic theory of nonstationar, discrete Kalman filter and its implementation to multichannel magnetotelluric data recorded in multi-site experiment are also discussed with details. The practical examples of Kalman filter application to the real 2D and 3D data illustrate the merits of presented technique.

Słowa kluczowe

EN

Kalman filter; noise rejection; magnetotellurics

• Wydawca: Wydawnictwo Uniwersytetu Jagiellońskiego
• Czasopismo: Schedae Informaticae
• Rocznik: 2009
• Tom: Vol. 17/18
• Strony: 63--73
• Opis fizyczny: Bibliogr. 6 poz., rys.

Twórcy

autor

Leśniak A.

autor

Danek T.

autor

Wojdyła M.

• Department of Geoinformatics and Applied Computer Science AGH University of Science and Technology, Mickiewicza 30, 30-059 Kraków, Poland,

Bibliografia

• [1] Bielecka M., Danek T., Wojdyła M., Leśniak A., Baran G.; Application of artificial intelligence methods to distortions reduction in magnetotelluric measurement data, 19th International Workshop on Electromagnetic Induction in the Earth, Beijing, China, Vol. 1, 2008, p. 454 (abstract).
• [2] Danek T., Stefaniuk M., Wojdyła M.; Examples of using singular spectrum analysis in magnetotelluric data processing, 18th International Workshop on Electromagnetic Induction in the Earth, El Vendrell, Spain, 2006, pp. 2–11.
• [3] Gamble T., Goubau W.M., Clarke J.; Magnetotellurics with a remote magnetic reference, Geophysics, 44, 1979, pp. 53–68.
• [4] Kalman R.E.; A new approach to linear filtering and prediction problems, Transactions of the ASME–Journal of Basic Engineering, 82 (Series D), 1960, pp. 35–45.
• [5] Leśniak A., Danek T., Wojdyła M.; Application of Kalman filter to noise reduction of magnetotelluric recordings, 19th International Workshop on Electromagnetic Induction in the Earth, Beijing, China, Vol. 1, 2008, p. 453 (abstract).
• [6] Simpson F., Bahr K.; Practical magnetotellurics, Cambridge University Press, UK, 2005.