Abstract
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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.