Self-tuning fusion Kalman smoother for multisensor multi-channel ARMA signals and its convergence

For the multisensor multi-channel autoregressive moving average (ARMA) signals with white measurement noises and an AR colored measurement noise as common disturbance noises, a multi-stage information fusion identification method is presented when model parameters and noise variances are partially u...

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Bibliographische Detailangaben

Hauptverfasser:	Guili Tao, Zili Deng
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Autoregressive processes Convergence convergence analysis identification Kalman filters Multisensor information fusion Noise Noise measurement self-tuning Kalman smoother Sensors
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