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Proceedings Paper

Optimal sensor dimension reduction in estimation fusion
Author(s): Enbin Song; Yunmin Zhu; Jie Zhou
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Paper Abstract

When there exists the limitation of communication bandwidth between sensors and a fusion center, one needs to optimally pre-compress sensor outputs--sensor observations or estimates before sensors' transmission to obtain a constrained optimal estimation at the fusion center in terms of the linear minimum error variance criterion. This paper will give an analytic solution of the optimal linear dimensionality compression matrix for the single sensor case and analyze the existence of the optimal linear dimensionality compression matrix for the multisensor case, as well as how to implement a Gauss-Seidel algorithm to search for an optimal solution to linear dimensionality compression matrix.

Paper Details

Date Published: 28 March 2005
PDF: 11 pages
Proc. SPIE 5813, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2005, (28 March 2005); doi: 10.1117/12.601969
Show Author Affiliations
Enbin Song, Sichuan Univ. (China)
Yunmin Zhu, Sichuan Univ. (China)
Jie Zhou, Sichuan Univ. (China)


Published in SPIE Proceedings Vol. 5813:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2005
Belur V. Dasarathy, Editor(s)

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