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
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;
Conference_Titel :
Microwave Symposium Digest. 2000 IEEE MTT-S International
Conference_Location :
Boston, MA, USA
Print_ISBN :
0-7803-5687-X
DOI :
10.1109/MWSYM.2000.860967
