Title :
Information fusion identification method for ARMA signal with colored measurement noise
Author_Institution :
Dept. of Electr. Eng., Heilongjiang Univ., Harbin, China
Abstract :
For the multi-sensor single-channel autoregressive moving average(ARMA) signals with colored measurement noises, common disturbance noise, and with unknown model parameters and noise variances, a multi-stage identification method is presented. Particularly, the multi-sensor system identification problem in noisy environment has important theoretical and application significance.
Keywords :
autoregressive moving average processes; sensor fusion; ARMA signal; colored measurement noise; common disturbance noise; information fusion identification method; multisensor single-channel autoregressive moving average signals; multisensor system identification problem; multistage identification method; noise variances; unknown model parameters; Adaptation models; Autoregressive processes; Cost accounting; Equations; Mathematical model; Noise; Noise measurement; information fusion parameter estimation; multi-stage identification method; noise variance;
Conference_Titel :
Measurement, Information and Control (ICMIC), 2013 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-1390-9
DOI :
10.1109/MIC.2013.6757988
