A proposal of blind identification method based on over-sampling for AR-model
Shinya Tajima, Hiroki Matsumoto · 2013
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.