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Volume 27 Issue 1
Jan.  2005
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Li Yan-peng, Li Xiang, Zhuang Zhao-wen. A Fast Kalman Filtering Algorithm and Its Evaluation[J]. Journal of Electronics & Information Technology, 2005, 27(1): 153-154.
Citation: Li Yan-peng, Li Xiang, Zhuang Zhao-wen. A Fast Kalman Filtering Algorithm and Its Evaluation[J]. Journal of Electronics & Information Technology, 2005, 27(1): 153-154.

A Fast Kalman Filtering Algorithm and Its Evaluation

  • Received Date: 2003-04-28
  • Rev Recd Date: 2003-08-11
  • Publish Date: 2005-01-19
  • A new fast Kalman filtering algorithm is illustrated in detail. For some filtering courses whose coefficients can not be caculated offline, this way offers high work speed and has certain accuracy, at the same time, it takes less resource. The idea is tested with simulated tracking data.
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  • 杨春玲,刘国岁,倪晋麟.基于转换坐标卡尔曼算法的雷达目标跟踪.现代雷达,1998,20(5):48-54.[2]Moustakides G V. Correcting the instability due to finite precision of the fast Kalman identification algorithms. Signal Processing.1989, 18(1): 33 - 42.[3]Yaakov Bar-Shalom. Multitarget-multisensor tracking and fusion.1997 IEEE National Radar Conference, Syracuse, NY, 1997:180- 192.[4]刘福声,罗鹏飞,编著.统计信号处理.长沙:国防科技大学出版社,1999:82-131.[5]熊洪允,曾绍标,毛云英,编著.应用数学基础.天津:天津大学出版社,1996:190-220.
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