Distributed pseudolinear estimation and UAV path optimization for 3D AOA target tracking

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• 作者：Sheng Xu^a ; ; Kutluyıl Doğanç ; ay^b ; ¹ ; Hatem Hmam^c
• 关键词：Unmanned aerial vehicle (UAV) ; Angle-of-arrival (AOA) ; Distributed pseudolinear Kalman filter (DPLKF) ; Path optimization ; Distributed path optimization
• 刊名：Signal Processing
• 出版年：2017
• 出版时间：April 2017
• 年：2017
• 卷：133
• 期：Complete
• 页码：64-78
• 全文大小：1809 K
• 卷排序：133

文摘

A novel distributed pseudolinear Kalman filter (DPLKF) is developed for 3D AOA target tracking. The bias problem of the 3D DPLKF is analyzed and a bias reduction method is proposed. A distributed path optimization algorithm is developed subject to communication range constraints and no-fly zones.