DocumentCode
2309711
Title
Improved autoregressive (AR) signal modeling for FDTD resonance estimation
Author
Lauer, A. ; Wolff, I.
Author_Institution
Inst. of Mobile & Satellite Commun. Techniques, Kamp-Lintfort, Germany
Volume
1
fYear
2000
fDate
11-16 June 2000
Firstpage
255
Abstract
Standard autoregressive signal processing is very sensitive to the model system´s order, instabilities can occur and make the model unusable. To overcome this drawback in this paper a mixed DFT/AR (DAR) method is presented using frequency domain AR evaluation, which is insensitive to unstable poles of the AR model. Numerical examples for the good performance of the algorithm are presented.
Keywords
autoregressive processes; discrete Fourier transforms; finite difference time-domain analysis; resonance; signal processing; stability; AR signal modeling; FDTD resonance estimation; autoregressive signal modeling; autoregressive signal processing; frequency domain AR evaluation; mixed DFT/AR method; unstable poles; Difference equations; Discrete Fourier transforms; Electronic mail; Finite difference methods; Frequency domain analysis; Parameter estimation; Resonance; Satellite communication; Signal processing algorithms; Time domain analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Microwave Symposium Digest. 2000 IEEE MTT-S International
Conference_Location
Boston, MA, USA
ISSN
0149-645X
Print_ISBN
0-7803-5687-X
Type
conf
DOI
10.1109/MWSYM.2000.860967
Filename
860967
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