| 强跟踪多模型估计器 |
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| 引用本文： | 梁彦,周东华,潘泉,贾宇岗.强跟踪多模型估计器[J].电子学报,2002,30(1):34-37. |
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| 作者姓名： | 梁彦 周东华 潘泉 贾宇岗 |
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| 作者单位： | 1. 清华大学自动化系,北京 100084;2. 西北工业大学自动控制系,陕西西安 710072 |
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| 基金项目： | 国家自然科学基金 (No .60 1 72 0 37) |
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| 摘 要： | 本文提出了一种基于最小二乘估计的强跟踪滤波器(STF)单重渐消因子求解方法.从参数自适应与模型自适应有机结合的角度出发,将STF与交互式多模型算法(IMM)相结合,设计了强跟踪交互式多模型估计器(STMME).仿真表明:STMME在跟踪机动目标时,对速度,加速度的跟踪精度明显优于传统的IMM,在自适应估计领域有着较好的应用前景.
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| 关 键 词： | 交互式多模型算法 强跟踪滤波器 机动目标跟踪 故障诊断 |
| 文章编号： | 0372-2112(2002)01-0034-04 |
Strong-Tracking Multiple Model Estimator |
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| LIANG Yan ,PAN Quan ,JIA Yu gang ,ZHOU Dong hua.Strong-Tracking Multiple Model Estimator[J].Acta Electronica Sinica,2002,30(1):34-37. |
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| Authors: | LIANG Yan PAN Quan JIA Yu gang ZHOU Dong hua |
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| Affiliation: | 1. Dept.of Automatic Control,Tsinghua University,Beijing 100084,China;2. Dept.of Automatic Control,Northwestern Polytechnic University,Xi'an,Shaanxi 710072,China |
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| Abstract: | Firstly we analyse the properties of Strong Tracking Filter (STF) and Interacting Multiple Model Algorithm and find that STF is a parameter adaptive algorithm and IMM is a model adaptive algorithm.It means that they may be combined effectively.Secondly we propose a new method based on the Least Squared Estimation to search for the fading factor in STF.After that,we design a Strong Tracking Multiple Model Estimator (STMME) by combining the new STF with IMM.Finally,the simulations show that STMME greatly improves accuracy of velocity and acceleration compared with the conditional IMM when tracking the maneuvering target.And the computation burden increases only 6%. |
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| Keywords: | interacting multiple model algorithm strong tracking filter tracking maneuvering targets fault detection |
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