Bias-compensated identification of quadratic Volterra system with noisy input and output
- Authors
- Kim, J. H.; Nam, S. W.
- Issue Date
- Mar-2010
- Publisher
- INST ENGINEERING TECHNOLOGY-IET
- Citation
- ELECTRONICS LETTERS, v.46, no.6, pp.448 - U96
- Indexed
- SCIE
SCOPUS
- Journal Title
- ELECTRONICS LETTERS
- Volume
- 46
- Number
- 6
- Start Page
- 448
- End Page
- U96
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/175379
- DOI
- 10.1049/el.2010.3164
- ISSN
- 0013-5194
- Abstract
- An iterative approach to identification of a quadratic Volterra system with noisy input-output is proposed, whereby the bias-compensated least-squares method of identifying a noisy FIR model is utilised with some modi. cation to estimate input/output noise variances and bias-removed Volterra system parameters. In particular, the proposed identification approach yields better performance even in cases of fewer input/output data than conventional methods, and it can be also extended to identification of noisy higher-order Volterra systems.
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