Blind system identification and channel equalization of IIR systems without statistical information

Erwei  Bai; Minyue Fu

doi:10.1109/78.771040

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Blind system identification and channel equalization of IIR systems without statistical information

Journal article

Peer reviewed

Blind system identification and channel equalization of IIR systems without statistical information

Erwei Bai and Minyue Fu

IEEE transactions on signal processing, Vol.47(7), pp.1910-1921

07/1999

DOI: 10.1109/78.771040

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http://hdl.handle.net/1959.13/25996View

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Abstract

A novel approach is proposed to blindly identify an unknown IIR system. The approach is based on faster sampling at the system output and requires neither a priori statistical information on the unknown input nor training signals. The methods presented are linear in the parameters of the unknown system so that many standard recursive algorithms can be readily applied. It is also shown in the paper that under a generic condition, any finite-order IIR system is identifiable, provided the oversampling ratio is appropriately chosen.

Signal Processing

Blind equalizers

Wireless communication

Transfer functions

IIR filters

Communication channels

Sampling methods

Finite impulse response filter

System identification

Details

Title: Subtitle: Blind system identification and channel equalization of IIR systems without statistical information
Creators: Erwei Bai - Dept. of Electr. & Comput. Eng., Iowa Univ., Iowa City, IA, USA
Minyue Fu
Resource Type: Journal article
Publication Details: IEEE transactions on signal processing, Vol.47(7), pp.1910-1921
DOI: 10.1109/78.771040
ISSN: 1053-587X
eISSN: 1941-0476
Publisher: IEEE
Language: English
Date published: 07/1999
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984083857002771

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