| 基于联合粒子滤波的系统误差修正方法 |
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| 引用本文： | 翟丽雪,张丽艳,杨晓华.基于联合粒子滤波的系统误差修正方法[J].大连交通大学学报,2007,28(4):59-63. |
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| 作者姓名： | 翟丽雪 张丽艳 杨晓华 |
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| 作者单位： | 1. 91439部队第460研究所,辽宁,大连,116023
2. 大连交通大学,电气信息学院,辽宁,大连,116028 |
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| 摘 要： | 在非线性滤波系统中,线性化误差和系统误差是影响滤波精度的两个主要因素.提出联合粒子滤波方法,在减少线性化误差的同时,能够实时估计系统误差的大小并自适应地消除其影响.说话人跟踪仿真实验结果验证了此方法的有效性.
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| 关 键 词： | 系统误差 联合滤波 粒子滤波 线性化误差 |
| 文章编号： | 1673-9590（2007）04-0059-05 |
| 收稿时间： | 2007-03-02 |
| 修稿时间： | 2007年3月2日 |
Method of System Error Calibration Based on Joint Particle Filter |
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| ZHAI Li-xue,ZHANG Li-yan,YANG Xiao-hua.Method of System Error Calibration Based on Joint Particle Filter[J].Journal of Dalian Jiaotong University,2007,28(4):59-63. |
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| Authors: | ZHAI Li-xue ZHANG Li-yan YANG Xiao-hua |
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| Abstract: | In nonlinear filtering system, linearization error and system error are two major factors that affect filtering accuracy. A joint particle filtering method is proposed to estimate system error in real time and eliminate its effect adaptively as well as to minimize the linearization error. Simulation results of speaker tracking demonstrate the effectiveness of the proposed method. |
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| Keywords: | system error joint filter particle filter linearization error |
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