Fast self-tuning weighted measurement fusion Kalman filter for the ARMA signal

For the multisensor single channel autoregressive moving average(ARMA) signal with common disturbance measurement noise and sensor bias, when the model parameters, the sensor bias and the noise variances are all unknown, their consistent estimates are obtained by a multistage fused identification me...

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Vydané v:	2011 IEEE International Conference on Mechatronics and Automation s. 1131 - 1136
Hlavní autori:	Chenjian Ran, Zili Deng
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.08.2011
Predmet:	ARMA signal Correlation Equations Fast inversion algorithm Kalman filters Mathematical model Multisensor data fusion multistage identification method Noise Noise measurement Self-tuning fused signal filter Weight measurement
ISBN:	9781424481132, 1424481139
ISSN:	2152-7431
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