| 基于测量方差时变的改进强跟踪滤波算法 |
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| 引用本文： | 胡振涛,刘先省. 基于测量方差时变的改进强跟踪滤波算法[J]. 传感器与微系统, 2005, 24(6): 65-68 |
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| 作者姓名： | 胡振涛 刘先省 |
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| 作者单位： | 河南大学,计算机与信息工程学院,河南,开封,475001 |
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| 基金项目： | 国家自然科学基金 , 河南省高校杰出科研创新人才工程项目 |
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| 摘 要： | 分析了测量方差预先设定对强跟踪滤波算法的不利影响,提出了一种测量方差自学习修正的强跟踪滤波算法。该滤波算法能够充分利用传感器每次测量带来的新信息,同时,可以进一步优化测量方差,提高了对状态的估计精度,最后,通过仿真计算验证了该算法的有效性。
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| 关 键 词： | 强跟踪滤波 测量方差 状态估计 |
| 文章编号： | 1000-9787(2005)06-0065-04 |
| 修稿时间： | 2004-10-27 |
Improved algirithm of strong tracking filter based on time-varying variance of measured error |
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| HU Zhen-tao,LIU Xian-xing. Improved algirithm of strong tracking filter based on time-varying variance of measured error[J]. Transducer and Microsystem Technology, 2005, 24(6): 65-68 |
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| Authors: | HU Zhen-tao LIU Xian-xing |
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| Abstract: | The influence of the variance of the measured error presupposed on the strong tracking filter is analysed,and a new modified algorithm is presented based on the self-learning and improvement of the variance of the measured error.This new algorithm can not only sufficiently utilize renewed information each time from sensor,but also optimize the variance of the measured error step by step.The accuracy of the state estimation is improved.Finally,the stimulation shows this algorithm can obviously improve the efficiency of maneuvering target tracking. |
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| Keywords: | STF(strong tracking filter) variance of measured error state estimation |
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