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An Approach to ARMA Model Identification from Noise Corrupted Output Measurements
Md.Kamrul HASAN Takashi YAHAGI Marco A.Amaral HENRIQUES
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 1994/04/25
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Digital Signal Processing
digital signal processing, modeling, parameter estimation, noise variance estimation, ARMA model,
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This letter extends the Yule-Walker method to the estimation of ARMA parameters from output measurements corrupted by noise. In the proposed method it is assumed that the noise variance and the input are unknown. An algorithm for the estimation of noise variance is, therefore, given. The use of the variance estimation method proposed here together with the Yule-Walker equations allow the estimation of the parameters of a minimum phase ARMA model based only on noisy measurements of its output. Moreover, using this method it is not necessary to slove a set of nonlinear equations for MA parameter estimation as required in the conventional correlation based methods.