Behavior of a Novel Iterative Deconvolution Algorithm for System Identification
Document Type
Article
Publication Date
7-2005
Publication Title
Journal of Vibration and Control
Volume
11
Issue
7
First page number:
985
Last page number:
1003
Abstract
This paper demonstrates the effectiveness and versatility of an iterative deconvolution algorithm in dealing with noise-rendered, truncated signals when signal averaging is not an option. An iterative deconvolution algorithm for system identification and signal restoration is presented, and its effectiveness and robustness are validated through the analysis of several artificially generated signals that are intended to mimic practically measured signals. Its application is intended for use in improving the quality of system identification by reducing the detrimental effect of information leakage caused by windowing. System identification was conducted for various scenarios, in which the input and output signals were rendered with noise and subjected to different truncation levels at the heads and/or tails. The ability of the algorithm to restore the truncated portion of signals is demonstrated. It is concluded that the algorithm has superior performance compared to currently available traditional approaches, such as the fast Fourier transform and autoregressive moving average methods.
Keywords
Autoregression (Statistics); Autoregressive moving average; Fast Fourier transform; Fourier transformations; Impulse response function; Iterative deconvolution algorithm; Iterative methods (Mathematics); L-SIDA; Signal processing – Digital techniques; System analysis; System identification
Disciplines
Acoustics, Dynamics, and Controls | Computer Sciences | Engineering | Mechanical Engineering | Signal Processing | Theory and Algorithms
Language
English
Permissions
Use Find in Your Library, contact the author, or interlibrary loan to garner a copy of the item. Publisher policy does not allow archiving the final published version. If a post-print (author's peer-reviewed manuscript) is allowed and available, or publisher policy changes, the item will be deposited.
Repository Citation
Liu, Q.,
Subhash, G.,
Evensen, H. A.
(2005).
Behavior of a Novel Iterative Deconvolution Algorithm for System Identification.
Journal of Vibration and Control, 11(7),
985-1003.