Multisensor integration and adaptive filtering in linear stochastic differential systems

We have derived the GMF, which represents the optimal linear combination of arbitrary number correlated estimates. Each estimate is fused by the minimum mean square error criterion. Using this formula we have derived the new suboptimal filtering algorithm. The proposed suboptimal filter can be widel...

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Bibliographic Details
Main Authors: Shin, V., Ahn, J.I.
Format: Conference Proceeding
Language:English
Subjects:
Adaptive filters
Aerospace industry
Applied sciences
Communication industry
Defense industry
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Filtering algorithms
Inertial navigation
Information, signal and communications theory
Mean square error methods
Military communication
Signal and communications theory
Signal, noise
Stochastic systems
Target tracking
Telecommunications and information theory
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Summary:We have derived the GMF, which represents the optimal linear combination of arbitrary number correlated estimates. Each estimate is fused by the minimum mean square error criterion. Using this formula we have derived the new suboptimal filtering algorithm. The proposed suboptimal filter can be widely used in the different areas of applications: industrial, military, space, communication, target tracking, inertial navigation and others.
DOI:10.1109/TENCON.2004.1414460