Title :
Distributed fusion estimators for multi-sensor time-delay systems with correlated noise
Author :
Lv, Nan ; Sun, Shuli
Author_Institution :
Dept. of Autom., Heilongjiang Univ., Harbin
Abstract :
Based on the innovation analysis approach, the estimation error cross-covariance matrices between local estimators based on any two sensors are derived for multi-sensor multi-delay systems with correlated noises. The non-augmented distributed weighted fusion optimal estimators are given based on the optimal weighted fusion estimation algorithm in the linear minimum variance sense. Compared with the local estimator based on single sensor, the distributed fusion estimator has higher accuracy. Compared with the centralized optimal estimator by augmentation, it has the better reliability and avoids the high-dimensional computation and the large space memory due to augmentation though there is the accuracy loss. A simulation example shows its effectiveness.
Keywords :
covariance matrices; delay systems; estimation theory; sensor fusion; correlated noise; distributed fusion estimation; estimation error cross-covariance matrices; innovation analysis; multi-sensor time-delay systems; nonaugmented distributed weighted fusion optimal estimators; Automation; Computational modeling; Estimation error; Intelligent control; Kalman filters; Sensor fusion; Sensor systems; Sun; Technological innovation; Multi-delay system; cross-covariance matrix; distributed fusion estimator; information fusion; multisensor;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4593121