Due to influence of ambient interference and transient sensor failure and so on

wind field measurement data with UAV contains the larger or more continuous outliers which affect accuracy of measurement data. According to characters of wind field measurement by UAV and combine with merits of Kalman filtering algorithm

strong tracking filtering algorithm and restraining outliers correcting algorithm

through analysis on filtering divergence trend

using conditions of above filtering algorithms are proposed

eventually a filtering algorithm with restraining outliers and divergence is constructed and test verification is carried out. Test result indicates that the algorithm can effectively conquer the influence of outliers

has good ability of restraining outliers

tracking ability and ensure filtering precision

and it can be applied for wind field measurement by UAV.