DocumentCode :
60734
Title :
Deterministic Blind Identification of IIR Systems With Output-Switching Operations
Author :
Chengpu Yu ; Lihua Xie ; Cishen Zhang
Author_Institution :
Centre for E-City, Nangyang Technol. Univ., Singapore, Singapore
Volume :
62
Issue :
7
fYear :
2014
fDate :
1-Apr-14
Firstpage :
1740
Lastpage :
1749
Abstract :
In this paper, a deterministic blind identification approach is proposed for linear output-switching systems, which are modeled by multiple infinite impulse-response (IIR) dynamic functions. By adopting a new over-sampling strategy, the concerned single-input-single-output (SISO) output-switching system is equivalently transformed into a time-invariant multi- input-multi-output (MIMO) system. Further, by exploring the mutual relations among the multiple inputs, the time-invariant MIMO system model and subsequently the output-switching system model are identified uniquely up to a scalar constant using the proposed identification approach. Sufficient identifiability conditions are provided for output-switching systems and numerical simulations are carried out to validate the proposed approach.
Keywords :
IIR filters; MIMO communication; IIR dynamic functions; IIR systems; deterministic blind identification approach; infinite impulse-response; linear output-switching systems; numerical simulations; output-switching operations; output-switching system model; single-input-single-output system; time-invariant MIMO system model; time-invariant multiinput-multioutput system; Finite impulse response filters; MIMO; Mathematical model; Polynomials; Time-varying systems; Transfer functions; Vectors; Blind identification; linear output-switching system; over-sampling operation; polyphase decomposition;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2014.2300061
Filename :
6712161
Link To Document :
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