IEICE TRANSACTIONS on Fundamentals
Blind Identification of IIR Model Based on Output Over-Sampling
Summary :
A new identification algorithm based on output over-sampling scheme is proposed for a IIR model whose input signal can not be available directly. By using only an output signal sampled at higher rate than unknown input, parameters of the IIR model can be identified. It is clarified that the consistency of the obtained parameter estimates is assured under some specified conditions. Further an efficient recursive algorithm for blind parameter estimation is also given for practical applications. Simulation results demonstrate its effectiveness in both system and channel identification.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E81-A No.11 pp.2350-2360
- Publication Date
- 1998/11/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Category
- Digital Signal Processing
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Hajime KAGIWADA, Lianming SUN, Akira SANO, Wenjiang LIU, "Blind Identification of IIR Model Based on Output Over-Sampling" in IEICE TRANSACTIONS on Fundamentals,
vol. E81-A, no. 11, pp. 2350-2360, November 1998, doi: .
Abstract: A new identification algorithm based on output over-sampling scheme is proposed for a IIR model whose input signal can not be available directly. By using only an output signal sampled at higher rate than unknown input, parameters of the IIR model can be identified. It is clarified that the consistency of the obtained parameter estimates is assured under some specified conditions. Further an efficient recursive algorithm for blind parameter estimation is also given for practical applications. Simulation results demonstrate its effectiveness in both system and channel identification.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e81-a_11_2350/_p
Copy
@ARTICLE{e81-a_11_2350,
author={Hajime KAGIWADA, Lianming SUN, Akira SANO, Wenjiang LIU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Blind Identification of IIR Model Based on Output Over-Sampling},
year={1998},
volume={E81-A},
number={11},
pages={2350-2360},
abstract={A new identification algorithm based on output over-sampling scheme is proposed for a IIR model whose input signal can not be available directly. By using only an output signal sampled at higher rate than unknown input, parameters of the IIR model can be identified. It is clarified that the consistency of the obtained parameter estimates is assured under some specified conditions. Further an efficient recursive algorithm for blind parameter estimation is also given for practical applications. Simulation results demonstrate its effectiveness in both system and channel identification.},
keywords={},
doi={},
ISSN={},
month={November},}
Copy
TY - JOUR
TI - Blind Identification of IIR Model Based on Output Over-Sampling
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2350
EP - 2360
AU - Hajime KAGIWADA
AU - Lianming SUN
AU - Akira SANO
AU - Wenjiang LIU
PY - 1998
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E81-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 1998
AB - A new identification algorithm based on output over-sampling scheme is proposed for a IIR model whose input signal can not be available directly. By using only an output signal sampled at higher rate than unknown input, parameters of the IIR model can be identified. It is clarified that the consistency of the obtained parameter estimates is assured under some specified conditions. Further an efficient recursive algorithm for blind parameter estimation is also given for practical applications. Simulation results demonstrate its effectiveness in both system and channel identification.
ER -
English
