| 基于联邦卡尔曼滤波器的信息分配因子的研究 |
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| 引用本文： | 张怡,蔡毅,唐成凯. 基于联邦卡尔曼滤波器的信息分配因子的研究[J]. 计算机仿真, 2009, 26(1) |
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| 作者姓名： | 张怡 蔡毅 唐成凯 |
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| 作者单位： | 西北工业大学电子信息学院,陕西,西安,710072 |
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| 摘 要： | 介绍了联邦卡尔曼滤波器的基本原理和算法.对信息分配因子在联邦卡尔曼滤波器中的作用进行了研究.针对不同取值的信息分配因子对联邦卡尔曼滤波器状态估计精度的影响,通过对联邦卡尔曼滤波算法推导,从理论上证明了信息分配因子的不同取值不会改变主滤波器的状态估计精度,只能改善子滤波器的状态估计精度.运用MATLAB仿真平台进行了仿真验证.仿真结果表明,信息分配因子的改变仅对子滤波器状态估计精度的改善有一定的作用.
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| 关 键 词： | 联邦卡尔曼滤波器 信息分配因子 估计精度 |
A Study of Information Sharing Factor Based on Federated Kalman Filter |
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| ZHANG Yi,CAI Yi,TANG Cheng-kai. A Study of Information Sharing Factor Based on Federated Kalman Filter[J]. Computer Simulation, 2009, 26(1) |
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| Authors: | ZHANG Yi CAI Yi TANG Cheng-kai |
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| Affiliation: | School of Electronics and Information;Northwestern Polytechnical University;Xi'an Shanxi 710072;China |
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| Abstract: | Through introducing the basic principle and the algorithm of Federated Kalman Filter,this paper discusses the function of the information sharing factor in Federated Kalman Filter.According to different information sharing factors' influence on Federated Kalman Filter's state estimate precision,and by calculating the algorithm of Federated Kalman Filter,the paper proves theoretically that different information sharing factors can't change filter's state estimate precision,they can only improve subsystem's s... |
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| Keywords: | Federated Kalman filter Information sharing factor Estimate precision |
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