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- Title
Iterative estimation for a non-linear IIR filter with moving average noise by means of the data filtering technique.
- Authors
YANJIAO WANG; FENG DING
- Abstract
This paper considers the parameter estimation issues of a non-linear infinite impulse response (IIR) filter with moving average noise. The main objective is to present novel iterative estimation methods of a nonlinear IIR filter by using the data filtering technique. Firstly, the gradient-based iterative (GI) algorithm is given for a non-linear IIR filter with moving average noise as a comparison. Secondly, a data filteringbased GI algorithm is presented for improving the parameter estimation accuracy. Thirdly, a data filteringbased least squares iterative algorithm is derived for improving the computation efficiency and boosting up the convergence rate. Finally, the simulation results are given to illustrate the performances of the proposed algorithms.
- Subjects
INFINITE impulse response filters; SIGNAL filtering; ITERATIVE learning control; MACHINE learning; LEAST squares
- Publication
IMA Journal of Mathematical Control & Information, 2017, Vol 34, Issue 3, p745
- ISSN
0265-0754
- Publication type
Article
- DOI
10.1093/imamci/dnv067