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- W2376626545 abstract "The wind field data processing method with good adaptability and robustness is one of the key technologies of the wind field measurement with the unmanned aircraft vehicle.According to the characters of the wind field measurement and the problem of the previous Kalman filter,the time-varying autoregression model was established with the time-varying coefficient and Gaussian random walk noises.The Sampling importance resampling(SIR) and the auxiliary particle filter(APF) were chosen for its filters.The processing results of simulate data and experimental data demonstrate that SIR and APF can solve the problem of the previous Kalman filter and APF has higher performance in eliminating outliers,tracing and precision,and it can meet the demand of real-time processing.APF is an effective data processing method for the UAV system for meteorological measurement." @default.
- W2376626545 created "2016-06-24" @default.
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- W2376626545 date "2009-01-01" @default.
- W2376626545 modified "2023-09-25" @default.
- W2376626545 title "Research of Wind Estimation Based on Particle Filter" @default.
- W2376626545 hasPublicationYear "2009" @default.
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