Blind system identification

Blind system identification (BSI) is a fundamental signal processing technology aimed at retrieving a system's unknown information from its output only. This technology has a wide range of possible applications such as mobile communications, speech reverberation cancellation, and blind image re...

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Bibliographic Details
Published in:Proceedings of the IEEE 1997-08, Vol.85 (8), p.1310-1322
Main Authors: ABED-MERAIM, K, QIU, W, HUA, Y
Format: Article
Language:English
Subjects:
Applied sciences
Australia
Blind equalizers
Computer science
control theory
systems
Control theory. Systems
Convolution
Data communication
Deconvolution
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Information, signal and communications theory
Maximum likelihood estimation
Mobile communication
Modelling and identification
Signal and communications theory
Signal processing
Signal, noise
Speech recognition
System identification
Telecommunications and information theory
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Summary:Blind system identification (BSI) is a fundamental signal processing technology aimed at retrieving a system's unknown information from its output only. This technology has a wide range of possible applications such as mobile communications, speech reverberation cancellation, and blind image restoration. This paper reviews a number of recently developed concepts and techniques for BSI, which include the concept of blind system identifiability in a deterministic framework, the blind techniques of maximum likelihood and subspace for estimating the system's impulse response, and other techniques for direct estimation of the system input.
ISSN:0018-9219
1558-2256
DOI:10.1109/5.622507