Low-Complexity Fusion Estimation Algorithms for Multisensor Dynamic Systems-Reference-Cited by-同舟云学术

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Low-Complexity Fusion Estimation Algorithms for Multisensor Dynamic Systems

Published:2009 Issue:11 Volume:E92-A Page:2910-2916
ISSN:0916-8508
Container-title:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
language:en
Short-container-title:IEICE Trans. Fundamentals

Author:

LEE Seokhyoung¹,SHIN Vladimir¹

Affiliation:

1. School of Information and Mechatronics, Gwangju Institute of Science and Technology

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Link

http://www.jstage.jst.go.jp/article/transfun/E92.A/11/E92.A_11_2910/_pdf

Reference18 articles.

1. [1] Y. Bar-Shalom, ed., Multitarget-Multisensor Tracking: Advanced Applications, Artec House, Norwood, MA, 1990.

2. [2] Y. Bar-Shalom and X.R. Li, Multitarget-Multisensor Tracking: Principles and Techniques, YBS Publishing, Storrs, 1995.

3. Distributed Fusion Architectures and Algorithms for Target Tracking

4. [4] Y.M. Zhu, Multisensor Decision and Estimation Fusion, Kluwer, Boston, 2002.

5. [5] X.R. Li, Y.M. Zhu, J. Wang, and C.Z. Han, “Optimal linear estimation fusion — Part I: Unified fusion rules,” IEEE Trans. Inf. Theory, vol.49, no.9, pp.2192-2208, 2004.

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