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))

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概要

• 論文の詳細を見る

• In a conventional Kalman filter, a transformation matrix is required to convert the resulting measurement noise vector from a Polar coordinate to a Cartesian coordinate. But in doing so, an approximation error occurs during the conversion which consequently degrades the conventional Kalman filter transient response performance compared to a Linear Least Squares filter. Hence, we present that by repeatedly using prediction value as an alternative in calculating transformation matrix improves the transient response performance. This is because the approximation error slightly shrinks with each calculation. We also illustrate the transient response performance for each filter using computer simulation results.

• 社団法人電子情報通信学会の論文
• 2011-10-10

著者

• Kosuge Yoshio

  Faculty Of Engineering Nagasaki University

• Kosuge Yoshio

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

• Matsunami Isamu

  Faculty Of Engineering Nagasaki University

• SYAHMI Muhammad

  Faculty of Engineering, Nagasaki University

• Syahmi Muhammad

  Faculty Of Engineering Nagasaki University

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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