Multi-stage information fusion identification method for multisensor ARMA signals with white measurement noises | IEEE Conference Publication | IEEE Xplore

Multi-stage information fusion identification method for multisensor ARMA signals with white measurement noises


Abstract:

For the single channel autoregressive moving average (ARMA) signals with multisensor and white measurement noises, unknown model parameters and unknown noise variances, a...Show More

Abstract:

For the single channel autoregressive moving average (ARMA) signals with multisensor and white measurement noises, unknown model parameters and unknown noise variances, a multi-stage information identification method is presented. It consists of the recursive instrument variable (RIV) algorithm-based information fusion estimator of the autoregressive (AR) parameters, the correlation method-based information fusion noise variance estimators, and the correlation function-based information fusion moving average (MA) parameter estimator. All information fusion estimators are obtained by taking the average of the local estimators. They have the strong consistency. A simulation example shows its effectiveness.
Published in: IEEE ICCA 2010
Date of Conference: 09-11 June 2010
Date Added to IEEE Xplore: 26 July 2010
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ISSN Information:

Conference Location: Xiamen, China

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