Non-process-noise Tracking Filter Using a 6-Dimensional Target Model(WSANE 2008 (Workshop for Space, Aeronautical and Navigational Electronics))

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概要

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• In this paper, we present the optimal position gain matrix of a linear filter for three-dimensional target tracking using a constant velocity target model under the condition that the steady state errors for a constant acceleration target are constant. In our proposed method, we assume that the process noise is the zero vector. We also derive a new α-β filter from our proposed method. We illustrate that the tracking performance of a new α-β filter is better than that of an α-β filter derived from Kalman filter equations or fading memory filter equations using constant velocity target model.

• 一般社団法人電子情報通信学会の論文
• 2008-11-17

著者

• Kosuge Yoshio

  Faculty Information R & D Research Center:mitsubishi Electric Corp.

関連論文

• New α-β Filters in Terms of an N-step Predicted Position(Radar, Navigation and Communications,ICSANE 2010 (International Conference on Space, Aeronautical and Navigational Electronics))
• Target Tracking for Maneuvering Targets Using Multiple Model Filter(Special Section on the Trend of Digital Signal Processing and Its Future Direction)
• Optimal Gains of an α-β Filter in Terms of Estimated Velocity(WSANE2007)
• Tracking Performance Improvement of an α-β Filter in Terms of Steady State Velocity(WSANE 2009 (Workshop for Space, Aeronautical and Navigational Electronics))
• Comparison of Aircraft Tracking Transient Response Between a Kalman Filter and a Linear Least Squares Filter(Technical Session,ICSANE 2011(International Conference on Space, Aeronautical and Navigational Electronics 2011))
• Non-process-noise Tracking Filter Using a 6-Dimensional Target Model(WSANE 2008 (Workshop for Space, Aeronautical and Navigational Electronics))
• Comparison of Aircraft Tracking Transient Response Between a Kalman Filter and a Linear Least Squares Filter

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