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Erschienen in:
2003 | OriginalPaper | Buchkapitel
Multisensor Point Estimation Fusion
verfasst von : Yunmin Zhu
Erschienen in: Multisensor Decision And Estimation Fusion
Verlag: Springer US
Enthalten in: Professional Book Archive
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In this chapter, we are concerned with the multisensor point estimation fusion which was received most attention in the estimation fusion area in the past a few decades (see [3], [6], and [94]). A popular purpose to pursue in those research results is to find some frameworks of the distributed estimation fusion whose performance are the same as the Kalman filtering using all unprocessed sensor observations, which is usually called thecentralizedestimation fusion. Therefore, the assumptions for the centralized Kalman filtering must be a part of the assumptions of those estimation fusion results as well. This is one of the reasons why the mutual independence of all sensor observation noises becomes a common assumption in those results.