Forward-backward time varying forgetting factor Kalman filter based DOA estimation algorithm for UAV (Unmanned Aerial Vehicle) autolanding

Jun-Seok Lim,Koeng-Mo Sung,Junil Song

doi:10.1109/icassp.2002.5745525

Forward-backward time varying forgetting factor Kalman filter based DOA estimation algorithm for UAV (Unmanned Aerial Vehicle) autolanding

Jun-Seok Lim, Koeng-Mo Sung + Show 1 more

https://doi.org/10.1109/icassp.2002.5745525

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Publication Date: May 1, 2002

Citations: 3

Affiliation: Sejong University, Seoul National University

#Unmanned Aerial Vehicle #Auto Landing + Show 8 more

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Abstract

This paper discusses a DOA algorithm for UAV(Unmanned Aerial Vehicle) auto landing. In UAV auto landing with radar system, ground multi path effect and time varying DOA make it difficult to estimate 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 DOA environments to estimate highly accurate DOA.

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