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- W2382298601 abstract "Based on the theory of optimal estimation, this paper proposed a compound fusion estimation algorithm of multi-layer sensors. The compound fusion structure, made up of real sensors and visual sensors, was used to solve the parameter estimation problems in noise environment. In this structure, the data from the first layer real physical sensors are processed recursively by multi-layer virtual sensors under a weighing fusion algorithm, so as to obtain their estimation value. The total number of estimation errors from data fusion will be decreased when layers of virtual sensors are increased. Since the virtual sensors are realized by software and algorithm, this true virtual data fusion method with multi-layers will not increase the complexity of the physical structure of measurement systems. Simulation results showed that the method is more efficient in reducing measurement errors than the traditional centralized algorithm." @default.
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- W2382298601 date "2004-01-01" @default.
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- W2382298601 title "Multi-Layer Fusion Algorithm of Real and Virtual Sensor Information" @default.
- W2382298601 hasPublicationYear "2004" @default.
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