| 动态系统参数与状态联邦双估计方法研究 |
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| 引用本文： | 马野,由大德,盖强.动态系统参数与状态联邦双估计方法研究[J].电子学报,2007,35(12):2315-2318. |
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| 作者姓名： | 马野 由大德 盖强 |
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| 作者单位： | 海军大连舰艇学院,辽宁大连 116018 |
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| 摘 要： | 本文提出了基于联邦滤波思想的参数和状态双估计模型及算法,给出了多传感器组合系统状态和参数信息分配原则,拓展了双估计及联邦卡尔曼滤波的使用范围.利用北斗/LORAN_C舰船航行实测数据,对双估计、联邦双估计等方法进行试验比较,实验表明,该方法提高了参数和状态估计的准确度.
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| 关 键 词： | 联邦双估计 参数与状态估计 信息分配 |
| 文章编号： | 0372-2112（2007）12-2315-04 |
| 收稿时间： | 2006-10-26 |
| 修稿时间： | 2006-12-15 |
Study of Federation Dual Estimation on Parameters and State Estimation of Dynamic System |
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| MA Ye,YOU Da-de,GAI Qiang.Study of Federation Dual Estimation on Parameters and State Estimation of Dynamic System[J].Acta Electronica Sinica,2007,35(12):2315-2318. |
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| Authors: | MA Ye YOU Da-de GAI Qiang |
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| Affiliation: | Dalian Naval Academy,Dalian,Liaoning 116018,China |
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| Abstract: | Federated dual estimation model and algorithm for parameters and state estimation which based on federated filter thought is proposed in this paper, and also the distribution principle for it is discussed. The use scope of dual estimation and federation kalman filtering is effectively expanded. Based on the actually observation data from BEIDOU/LORAN_ C, dual estimation and federal dual estimation methods are used to carry on the experimental comparison. The result of experiment shows that the precision of parameters and the state estimation is improved. |
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| Keywords: | federation dual estimation parameters and state estimation information distribution |
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