DocumentCode
669798
Title
A proposal of blind identification method based on over-sampling for AR-model
Author
Tajima, Shinya ; Matsumoto, Hirokazu
Author_Institution
Maebashi Inst. of Technol., Maebashi, Japan
fYear
2013
fDate
12-15 Nov. 2013
Firstpage
146
Lastpage
151
Abstract
There is the over-sampling method which is one of the methods for realizing the blind identification. In the conventional method, the unknown system is assumed by FIR type and the estimation filter is used by FIR filter. However, we have the case which can not assume the unknown system to be FIR type. At the result, estimation performance of the conventional method is lower. Then, in this paper, as the first step, we assume AR type which is the simplest IIR type as the unknown system. And, we propose the blind identification method for AR model which is used as unknown system using oversampling method and we evaluate the identification performance by computer simulation.
Keywords
FIR filters; IIR filters; autoregressive processes; blind source separation; AR-model; FIR filter; IIR type; blind identification; computer simulation; estimation filter; over-sampling; oversampling method; Communication systems; Computational modeling; Computer simulation; Estimation; Finite impulse response filters; Gaussian distribution; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Signal Processing and Communications Systems (ISPACS), 2013 International Symposium on
Conference_Location
Naha
Print_ISBN
978-1-4673-6360-0
Type
conf
DOI
10.1109/ISPACS.2013.6704537
Filename
6704537
Link To Document