| 动力学模型系统误差的随机加权估计 |
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| 引用本文： | 高社生,魏文辉. 动力学模型系统误差的随机加权估计[J]. 西北工业大学学报, 2011, 29(6): 839-843 |
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| 作者姓名： | 高社生 魏文辉 |
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| 作者单位： | 西北工业大学自动化学院,陕西西安,710072 |
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| 基金项目： | 国家自然科学基金(61174193)资助 |
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| 摘 要： | 提出用新兴的随机加权估计算法对动力学模型系统误差进行估计,以控制动态模型噪声异常对状态参数估值的影响.该算法根据实际需要对动力学模型误差和状态预报值向量的协方差阵进行随机加权,以控制残差向量协方差阵和新息向量协方差阵的大小,削弱模型误差对状态参数向量的影响,提高动态导航解算的滤波精度.仿真结果表明,提出的随机加权估计算法的估计精度,明显优于经典Kalman滤波和抗差自适应Kalman滤波,能提高飞行器动态导航定位的精度.
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| 关 键 词： | 动态模型误差 随机加权估计 协方差矩阵 |
A New and Efficient Method for Random Weighting Estimation of Kinematic Model Systematic Error |
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| Gao Shesheng , WeiWenhui. A New and Efficient Method for Random Weighting Estimation of Kinematic Model Systematic Error[J]. Journal of Northwestern Polytechnical University, 2011, 29(6): 839-843 |
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| Authors: | Gao Shesheng WeiWenhui |
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| Affiliation: | (Department of Automatic Control,Northwestern Polytechical University,Xi′an 710072,China) |
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| Abstract: | The introduction of the full paper reviews a number of relevant papers in the open literature,points out what we believe to be their shortcomings,and then proposes a new method mentioned in the title,which we believe is more efficient than previous ones and which is explained in sections 1,2,and 3.Their core consists of: Theories of random weighting estimation are established to estimate the kinematic model error and covariance matrices of predicted state vector for controlling the disturbances on state par... |
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| Keywords: | analysis control dynamic positioning efficiency errors estimation interference suppression kinematics measurements models navigation parameter estimation random processes simulation state estimation systematic errors kinematic model error random weighting estimation covariance matrix |
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