Particle Velocity Estimation Using Kalman Filtering |
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Authors: | Zhiyan Yang |
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Affiliation: | Luoyang Optical Machinery Research Institute, People's Republic of China; |
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Abstract: | The velocity of a moving particle can be estimated by using the least squares method (LSM), but the estimation accuracy is not high. Here, a Kalman filtering method (KFM) is applied to estimate this velocity. A Kalman filtering formulation of the moving particle velocity is described and has been realized on a digital computer. According to a vast number of printouts, the advantages of KFM over LSM are a short filtering stability time and a high filtering accuracy. |
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