| 基于增广的广义卡尔曼滤波模型的高精度参数估计 |
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| 引用本文： | 初宁,邢世其,张锴. 基于增广的广义卡尔曼滤波模型的高精度参数估计[J]. 数学的实践与认识, 2007, 37(14): 50-55 |
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| 作者姓名： | 初宁 邢世其 张锴 |
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| 作者单位： | 国防科技大学,电子科学与工程学院,湖南,长沙,410073 |
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| 摘 要： | 针对捕食模型、利用已知观测数据、在非线性最小二乘准则下,建立了基于增广的广义卡尔曼滤波模型来解决噪声背景下的高精度参数估计问题,并予以了验证.提出以相平面方程为约束的初值搜索算法,利用Matlab优化工具箱、深度搜索和剪枝加速等技术来提高搜索速度.还建立了二重规划模型以解决观测时间有误差时的高精度估计问题,并对时间误差作了正态分布检验.
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| 关 键 词： | 非线性最小二乘 卡尔曼滤波 高精度参数估计 深度搜索 剪枝加速 二重规划 |
| 修稿时间： | 2007-03-01 |
The Solution of High Accuracy Parameter Estimation Based on the Model of Enhanced Kalmen Filtering |
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| CHU Ning,XING Shi-qi,ZHANG Kai. The Solution of High Accuracy Parameter Estimation Based on the Model of Enhanced Kalmen Filtering[J]. Mathematics in Practice and Theory, 2007, 37(14): 50-55 |
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| Authors: | CHU Ning XING Shi-qi ZHANG Kai |
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| Abstract: | The paper analyzes the principal of the nonlinear least squares and propose a solution of high accuracy parameter estimation based on the model of enhanced Kalmen filtering.Applying the methods of the depth-first search algorithm and fast pruning,the calculation speed is improved.A two-objective programming model is made as the time-observation is inaccurate. |
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| Keywords: | nonlinear least squares kalmen filtering high accuracy parameter estimation depth-first search algorithm fast pruning two-objective programming |
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