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This correspondence introduces a family of algorithms based on the Steiglitz-McBride (SM) method for adaptive IIR filtering. The main feature of the proposed algorithms is to remove the parameter bias induced by colored measurement noise. The conceptual similarities between the SM method and the equation error method are explored in order to analyze some properties of the new algorithms. The main analysis results concern the consistency of the parameter estimates and local convergence. A set of simulations in a system identification configuration is included in order to verify the improved performance of the new algorithms based on the SM method
Published in:
Signal Processing, IEEE Transactions on
(Volume:45
,
Issue:
5
)
Date of Publication: May 1997
- Page(s):
- 1367 - 1371
- ISSN :
- 1053-587X
- INSPEC Accession Number:
- 5589880
- Digital Object Identifier :
- 10.1109/78.575712
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- May 1997
- Sponsored by :
- IEEE Signal Processing Society
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