Title :
Blind system identification and channel equalization for IIR systems
Author :
Bai, Erwei ; Minyue Fui
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa Univ., Iowa City, IA, USA
Abstract :
A novel approach is proposed to blindly identify an unknown infinite impulse-response (IIR) system. The methods presented are linear in parameters of the unknown system so that many standard recursive algorithms can readily be applied. It is also shown in the paper that under a generic condition, any finite order IIR system is identifiable provided the over-sampling ratio is high enough
Keywords :
digital communication; equalisers; error statistics; identification; poles and zeros; recursive estimation; sampled data systems; telecommunication channels; IIR systems; blind system identification; channel equalization; infinite impulse-response; over-sampling ratio; recursive algorithms; sampled data systems; zero order hold; Blind equalizers; Communication channels; Finite impulse response filter; IIR filters; Least squares approximation; Sampling methods; Signal generators; Signal processing; System identification; Transfer functions;
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-3590-2
DOI :
10.1109/CDC.1996.572852
