Title :
A proposal of blind identification method based on over-sampling using orthogonal filter for IIR system
Author :
Tajima, Shinya ; Ogawa, Tomomi ; Matsumoto, Hirokazu
Author_Institution :
Maebashi Inst. of Technol., Maebashi, Japan
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 usually assumed by FIR system and the estimation filter is also used by FIR filter. However, if a target system has long impulse length in many real environment, we may have to assume IIR system for the unknown system. If we use FIR filters to estimate such systems, the identification performance is lower. Therefore, it is necessary to research the blind identification method for the unknown system as IIR system. Then, we propose the blind identification based on over-sampling method using orthogonal filter for IIR system and we evaluate the identification performance by computer simulations.
Keywords :
IIR filters; blind source separation; signal sampling; IIR system; blind identification method; computer simulations; identification performance evaluation; orthogonal filter; over-sampling method; Communication systems; Computational modeling; Computer simulation; Estimation; Finite impulse response filters; Vectors;
Conference_Titel :
Intelligent Signal Processing and Communication Systems (ISPACS), 2014 International Symposium on
Conference_Location :
Kuching
DOI :
10.1109/ISPACS.2014.7024446