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无序量测下的多传感器观测噪声融合估计

The fusion algorithm of multi-sensor measurement noise update estimate on out-of-sequence
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摘要 本文采用直接更新法,给出了噪声相关情况下的各局部传感器观测噪声更新估计算法;给出了观测噪声线性最小方差意义下的最优对角阵加权融合更新估计算法. This paper presents the local measurement noise update estimate algorithm and the optimal measurement noise update estimate fusion algorithm. Whcn measurement reaches out-of-sequence, the processor noise and the measurement noise are correlated.
作者 高蕊 张希彬
出处 《西南民族大学学报(自然科学版)》 CAS 2008年第4期679-682,共4页 Journal of Southwest Minzu University(Natural Science Edition)
关键词 无序量测 观测噪声 状态更新 out-of-sequence measurement measurement noise state update
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参考文献3

  • 1SHU-LI SUN. Multi-sensor optimal information fusion Kalman filters with applications[J].Aerospace Science and Technology, 2003, 8:57-62.
  • 2SHU-LI SUN. Multi-sensor information fusion white noise filter weighted by scalars based on Kalman predictor[J].Automatica, 2004, 40, 1447-1453.
  • 3Y BAR-SHALOM, Update with Out-of-Sequence Measurements in Tracking:Exact Solution[J]. IEEE Transactions on Aerospace and Electronic Systems, 2002, 38(3):769-777.

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