Title
Self-tuning measurement fusion white noise deconvolution estimator and its convergence analysis
Abstract
For the multisensor linear discrete time-invariant stochastic systems with correlated measurement noises and unknown noise statistics, an on-line noise statistics estimator is presented using the correlation method. By the weighted least square (WLS) method, a measurement fusion system is obtained. Using the Kalman filtering method, based on the Riccati equation, a self-tuning weighted measurement fusion white noise deconvolution estimator is presented. It is proved that the self-tuning fusion white noise deconvolution estimator converges to the optimal fusion steady-state white noise deconvolution estimator in a realization by the dynamic error system analysis (DESA) method, so that it has the asymptotic global optimality. A simulation example for a 3-sensor system with Bernoulli-Gaussian input white noise shows its effectiveness.
Year
DOI
Venue
2010
10.1109/ICCA.2010.5524113
ICCA
Keywords
Field
DocType
bernoulli-gaussian input white noise,online noise statistics estimator,kalman filters,correlation method,stochastic systems,statistical analysis,kalman filtering method,multisensor,self-tuning measurement fusion,dynamic error system analysis,convergence analysis,deconvolution,riccati equation,convergence,least squares approximations,riccati equations,white noise deconvolution estimation,discrete time systems,white noise,weighted least square method,linear discrete time-invariant system,correlation methods,sensor fusion,discrete time,noise measurement,kalman filter,steady state,correlation,statistics,system analysis,global optimization
Minimum-variance unbiased estimator,Noise measurement,Control theory,Deconvolution,Sensor fusion,Kalman filter,White noise,Gaussian noise,Mathematics,Estimator
Conference
Volume
Issue
ISSN
null
null
1948-3449 E-ISBN : 978-1-4244-5196-8
ISBN
Citations 
PageRank 
978-1-4244-5196-8
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Shu-Li Sun1101.36
Zi-li Deng251444.75