Atmospheric PM concentration prediction and noise estimation based on adaptive unscented Kalman filtering
Due to the randomness and uncertainty in the atmospheric environment, and accompanied by a variety of unknown noise. Accurate prediction of PM 2.5 concentration is very important for people to prevent injury effectively. In order to predict PM 2.5 concentration more accurately in this environment, a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2021-03-01
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| Series: | Measurement + Control |
| Online Access: | https://doi.org/10.1177/0020294021997491 |