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- W2615198443 abstract "Development of temperature reconstruction algorithm plays an important role in the application of temperature field measurement by acoustic tomography. A dynamic model of temperature field reconstruction by acoustic tomography is established. A dynamic reconstruction algorithm based on Kalman Filter (KF) is proposed considering both acoustic measurement and the dynamic evolution information. An objective function fusing space constrain with dynamic evolution information is designed. Simulation results of three temperature field distribution models show that the reconstruction quality of dynamic reconstruction method based on KF is better than those of static reconstruction methods." @default.
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- W2615198443 date "2017-05-01" @default.
- W2615198443 modified "2023-09-23" @default.
- W2615198443 title "Dynamic reconstruction algorithm of temperature field based on Kalman filter" @default.
- W2615198443 cites W129502961 @default.
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- W2615198443 doi "https://doi.org/10.1088/1755-1315/64/1/012095" @default.
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