| 引用本文: | 金宏.分段循环 Kalman滤波及其对估值精度的影响.[J].国防科技大学学报,1987,(1):91-99.[点击复制] |
| Jin Hong.The Piecewise-recursive Kalman Filter and Its Influence on the Accurancy of Estimation[J].Journal of National University of Defense Technology,1987,(1):91-99[点击复制] |
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| 分段循环 Kalman滤波及其对估值精度的影响 |
| 金宏 |
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| 摘要: |
| 正如文[3]所说，分段循环 Kalman 滤波是减少 Kalman 滤波计算的最有效最有前途的方法之一。本文讨论了这种方法以及它对估值精度的影量响，并讨论了采样间隔 ⊿t、⊿τ = N ⊿t如何选择的问题。最后给出一例证明这种方法的可用性。 |
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| 投稿日期：1986-01-09 |
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| The Piecewise-recursive Kalman Filter and Its Influence on the Accurancy of Estimation |
| Jin Hong |
| Abstract: |
| As shown in previous studies[3],the piecewise-recursive Kalman filter is one of the most efficient and promising approach to decrease the computation requirements of the Kalman filter. In this paper the approach and its influence on the accurancy of estimation and the problem of how to choose the ⊿t(the sampling interval) and ⊿τ = N ?⊿t (the interval between gain-matrix calculations)are considered. In the final portion of the paper，a example is given to show the applicability of the approach. |
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