| 一种改进的机动目标跟踪算法 |
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| 引用本文： | 畅言,严超,罗利强,马可.一种改进的机动目标跟踪算法[J].电子科技,2014,27(1):34-37. |
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| 作者姓名： | 畅言 严超 罗利强 马可 |
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| 作者单位： | (1.西安电子工程研究所 人力资源部,陕西 西安 710100;2.西安电子工程研究所 总体一部,陕西 西安 710100) |
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| 摘 要： | 针对传统Singer滤波算法,跟踪机动目标精度较低、收敛较慢的问题,提出了一种改进的Singer算法,该算法根据新息的衰减记忆平均值和加速度滤波值,实时调整过程噪声协方差矩阵,改变滤波增益,减小了位置的均方根误差,并提高了速度和加速度的滤波精度,通过Matlab仿真,证明了该算法的可行性。
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| 关 键 词： | Singer滤波算法 机动检测 过程噪声协方差 新息衰减平均值 |
An Improved Maneuvering Target Tracking Algorithm |
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| CHANG Yan,YAN Chao,LUO Liqiang,MA Ke.An Improved Maneuvering Target Tracking Algorithm[J].Electronic Science and Technology,2014,27(1):34-37. |
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| Authors: | CHANG Yan YAN Chao LUO Liqiang MA Ke |
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| Affiliation: | (1.Department of Human Resources,Xi'an Institute of Electronic Engineering,Xi'an 710100,China;
2.Overall Unit 1,Xi'an Institute of Electronics Engineering,Xi'an 710100,China) |
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| Abstract: | An improved algorithm is presented to deal with the low accuracy of maneuvering detection and slow convergence of traditional singer algorithm. The algorithm is based on the average of innovation memory while adjusting process noise covariance matrix, changing the filter gain and reducing the position RMSE, to increase the speed and acceleration accuracy of the filter. Matlab simulation proves the feasibility of the algorithm. |
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| Keywords: | Singer filtering algorithm maneuver detection process noise covariance innovation attenuation average |
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