Low order autoregressive models for FDTD analysis of microwave filters

• Autorzy: Kozakowski P. , Mrozowski M.
• Języki publikacji: EN

Abstrakty

EN

The forward-backward autoregressive (AR) model is applied to extract time signatures generated by the FDTD algorithm. It is shown that using simple techniques of model parameters selection one is able to reduce the model complexity for low and medium Q circuits.

Słowa kluczowe

EN

FDTD; signal processing; AR; filter

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2002
• Tom: nr 1
• Strony: 48--51
• Opis fizyczny: Bibliogr. 7 poz, tab., rys.

Twórcy

autor

Kozakowski P.

• Department of Electronics, Telecommunications and Informatics, Technical University of Gdańsk

autor

Mrozowski M.

• Department of Electronics, Telecommunications and Informatics Technical University of Gdańsk Narutowicza st 11/12 80-952 Gdańsk, Poland

Bibliografia

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• [3] J. Chen, C. Wu, T. Lo, K. Wu, and J. Litwa, “Using linear and nonlinear predictors to improve the computational efficiency of the FD-TD algorithm”, IEEE Trans. Microw. Theory Techn., vol. MTT-42, no. 10, pp. 1993–1997, 1994.
• [4] V. Jandhyala, E. Michielssen, and R. Mittra, “FDTD signal extrapolation using the Forward-Backward autoregressive (AR) model”, IEEE Microw. Guid. Wave Lett., vol. 4, no. 6, pp. 163–165, 1994.
• [5] S. L. Marple, Digital Spectral Analysis. Prentice Hall, Inc. Englewood Cliffs, 1987.
• [6] C. Eswarappa and W. J. R. Hoefer, “Autoregressive (AR) and autoregressive moving average (ARMA) spectral estimation techniques for faster TLM analysis of microwave structures”, IEEE Trans. Microw. Theory Techn., vol. MTT-42, no. 12, pp. 2407–2411, 1994.
• [7] W. Gwarek, M. Celuch-Marcysiak, M. Sypniewski, and A. Więckowski, “QuickWave – 3D manual”, http://www.qwed.com.pl