Adaptive Application of Autoregressive Moving Average Method in Accelerating FDTD Simulation

Author

Jing, Dong ; Lei, Wang ; Sasaki, Yukinori ; Shimizu, Hidehito ; Hiraide, Kazunari ; Yamamoto, Yuta

Author_Institution

Software Technol. Centre, Panasonic Electron. Devices (S) Pte Ltd., Singapore

fYear

2007

fDate

11-14 Dec. 2007

Firstpage

1

Lastpage

4

Abstract

The autoregressive moving average (ARMA) method is used to speed up the finite difference time domain (FDTD) simulation. Adaptive technique proposed as adaptive s- parameter method, is applied for the selection of ARMA model parameters, specifically the selection of training sequence. It is shown that the proposed method is more practically useful in that it is not model-dependent. It has made the signal predictor more stable and feasible for general-purpose use in combined FDTD simulation and signal processing.

Keywords

S-parameters; autoregressive moving average processes; finite difference time-domain analysis; signal processing; autoregressive moving average method; finite difference time domain simulation; s-parameter; signal processing; Acceleration; Autoregressive processes; Computational modeling; Finite difference methods; Frequency domain analysis; Predictive models; Signal generators; Signal processing; Time domain analysis; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwave Conference, 2007. APMC 2007. Asia-Pacific

Conference_Location

Bangkok

Print_ISBN

978-1-4244-0748-4

Electronic_ISBN

978-1-4244-0749-1

Type

conf

DOI

10.1109/APMC.2007.4554545

Filename

4554545