A new optimal reduced dimension weighted fusion white noise estimator

Author

Xiao-Jun Sun ; Guang-Ming Yan ; Bo Zhang

Author_Institution

Dept. of Autom., Univ. of Heilongjiang, Harbin, China

fYear

2014

Firstpage

83

Lastpage

87

Abstract

For the multisensor linear discrete time-invariant systems with correlated noises, a reduced dimension weighted measurement fusion algorithm is presented. Furthermore, an optimal reduced dimension weighted measurement fusion white noise deconvolution estimator is given. Its computational burden is greatly reduced. A simulation example for a 3-sensor system with Bernoulli-Gaussian input white noise shows its effectiveness.

Keywords

Gaussian noise; deconvolution; discrete time systems; estimation theory; sensor fusion; white noise; 3-sensor system; Bernoulli-Gaussian input white noise; correlated noises; multisensor linear discrete time-invariant systems; optimal reduced dimension; reduced dimension weighted measurement fusion; weighted fusion white noise estimator; white noise deconvolution estimator; Equations; Kalman filters; Mathematical model; Noise measurement; Weight measurement; White noise; global optimality; information fusion; reduced weighted fusion; white noise deconvolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2014 11th International Computer Conference on

Print_ISBN

978-1-4799-7207-4

Type

conf

DOI

10.1109/ICCWAMTIP.2014.7073366

Filename

7073366