DocumentCode :
2107334
Title :
Blind identification of single-input multiple-output pole-zero systems
Author :
Venkatesan, Gopal T. ; Kaveh, Mostafa ; Tewfik, Ahmed H. ; Buckley, Kevin M.
Author_Institution :
Dept. of Electr. Eng., Minnesota Univ., Minneapolis, MN, USA
Volume :
4
fYear :
1998
fDate :
12-15 May 1998
Firstpage :
2117
Abstract :
In this paper we present a technique for the blind identification of single-input multiple-output (SIMO) pole-zero (PZ) systems using only second order statistics of the system output data. The system input is treated as an unknown deterministic sequence, and hence, restrictive i.i.d. Assumptions on the input sequence are not required. We estimate the poles and zeros of the channels in two steps: (1) estimate the product of all permutations of a numerator and a denominator polynomial from two different channels, and (2) extract individual numerator and denominator polynomials for each channel from the above estimate. Our technique performs well even with short records of data
Keywords :
FIR filters; identification; least squares approximations; poles and zeros; polynomials; sequences; statistical analysis; PZ systems; SIMO pole-zero systems; blind identification; denominator polynomial; i.i.d.; infinite identically distributed system; numerator; permutations; second order statistics; single-input multiple-output pole-zero systems; unknown deterministic sequence; Acoustic sensors; Bismuth; Finite impulse response filter; MIMO; Monitoring; Poles and zeros; Polynomials; Robustness; Sensor phenomena and characterization; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
ISSN :
1520-6149
Print_ISBN :
0-7803-4428-6
Type :
conf
DOI :
10.1109/ICASSP.1998.681563
Filename :
681563
Link To Document :
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