Abstract
This paper discusses a landing angle estimation algorithm in UAV (Unmanned Aerial Vehicle) autolanding simulation. In UAV autolanding with radar system, the ground multipath effect and the time varying landing angle make it difficult to estimate landing angle information of UAV. This paper proposed a new algorithm based on forward-backward Kalman filter with time varying forgetting factor. This algorithm effectively handles the multipath effect and time varying landing angle environments to estimate highly accurate landing angle.
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