Title :
Optimal linear estimation fusion. Part V. Relationships
Author :
Li, X. Rong ; Zhang, Keshu ; Zhao, Juan ; Zhu, Yunmin
Author_Institution :
Dept. of Electr. Eng., New Orleans Univ., LA, USA
Abstract :
For pt.IV see proc. 2001 International Conf on Information Fusion. .In this paper, we continue our study of optimal linear estimation fusion in. a unified, general, and systematic setting. We clarify relationships among various BLUE and WLS fusion rules with complete, incomplete, and no prior information presented in Part I before; and we quantify the effect of prior information and data on fusion performance, including conditions under which prior information or data are redundant.
Keywords :
least squares approximations; mean square error methods; sensor fusion; BLUE; WLS fusion; data fusion; least squares; linear estimation fusion; optimal linear estimation fusion; prior information; track fusion; Bayesian methods; Data models; Distributed computing; Estimation error; Hip; Least squares approximation; Mathematics; Symmetric matrices;
Conference_Titel :
Information Fusion, 2002. Proceedings of the Fifth International Conference on
Conference_Location :
Annapolis, MD, USA
Print_ISBN :
0-9721844-1-4
DOI :
10.1109/ICIF.2002.1021195
