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分层融合算法
相关语句
  hierarchical fusion algorithm
     Research on Hierarchical Fusion Algorithm of Different Type Sensors
     不同类型传感器的分层融合算法研究
短句来源
     A Study of Performance of Multi-sensor Hierarchical Fusion Algorithm with Feedback
     多传感器反馈分层融合算法性能研究
短句来源
     Study of Performance of Multisensor Hierarchical Fusion Algorithm with Feedback
     带反馈多传感器分层融合算法性能研究
短句来源
     Hierarchical fusion algorithm for multisensor integrated navigation system
     多传感器组合导航系统分层融合算法
短句来源
     The simulation results show that consecutive hierarchical fusion algorithm based on the part feedback mode is effective for integrated navigation system.
     仿真结果表明 ,部分反馈模式的有序分层融合算法可有效地应用于多传感器组合导航系统。
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  “分层融合算法”译为未确定词的双语例句
     GENERALIZED ALGORITHM FOR HIERARCHICAL FUSION OF MULTISENSOR
     推广的多传感器数据的分层融合算法
短句来源
     A new method for state estimation of general linear multisensor system, i.e.a generalized algorithm for hierarchical fusion is presented.
     针对一般线性的多传感系统,提出一种新的状态估计法即推广的分层融合算法.文中推出该系统分层融合估计的公式;
短句来源
     In the research, more attention is paid to the effect of the number of sensors on the steady performance of the algorithm with different feedback mechanism.
     与上述研究不同 ,本文重点考察了融合系统中传感器数目对非实时有反馈分层融合算法性能的影响。
短句来源
     The relationship between sensor number and steady performance of HF algorithm with partial and complete feedback is evaluated for the first time and results we obtain bring the recent achievement about HF algorithm to completion.
     首次分析了传感器数目与全反馈和部分反馈非实时分层融合算法稳态性能的关系,所得结论补充、完善了近期有关该算法的研究成果;
短句来源
     Under the same incomplete data rate, performances of BLUE algorithm and HF algorithm with partial feedback are compared for the first time.
     首次研究了非实时最优线性无偏融合算法的稳态性能与同等条件下非实时部分反馈分层融合算法稳态性能的关系。
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  相似匹配句对
     The Properties for Hierarchical Fusion of Multisensor Data
     多传感器数据分层融合的性质
短句来源
     Exploring on Hierarchical KalmanFiltering Fusion Algorithm
     加权分层卡尔曼滤波融合算法
短句来源
     An Algorithm for Quasihierarchy Fusion of Multisensor Data
     多传感器数据的准分层融合
短句来源
     GENERALIZED ALGORITHM FOR HIERARCHICAL FUSION OF MULTISENSOR
     推广的多传感器数据的分层融合算法
短句来源
     A Study of Performance of Multi-sensor Hierarchical Fusion Algorithm with Feedback
     多传感器反馈分层融合算法性能研究
短句来源
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An algorithm for quasihierarchy fusion of data,which is used to solve the nonliner problems in the multisensor system,is introduced in this paper.First,the quasihierarchy fusion for formulas of the state estimation are deduced.Second,their computation method is given and their characterictics are discussed.Finally,the realization architecture for the above algorithm is also pres-ented.The theoretical results have proved that the algorithrn can be considered as the generalized Kalman filter of multisensor The...

An algorithm for quasihierarchy fusion of data,which is used to solve the nonliner problems in the multisensor system,is introduced in this paper.First,the quasihierarchy fusion for formulas of the state estimation are deduced.Second,their computation method is given and their characterictics are discussed.Finally,the realization architecture for the above algorithm is also pres-ented.The theoretical results have proved that the algorithrn can be considered as the generalized Kalman filter of multisensor The practical needs have shown that the algorithm has a more bright future in the application than the algorithm in ̄[1] for the hierarchy fusion in the liner system does.

本文针对非线性多传感器系统的状态估计问题,提出了准分层融合算法。文中,首先推出了准分层融合估计式,而后说明其算法,并讨论其性质,最后,给出其工程上可实现的结构框图。理论结果表明,该算法可用作多传感器的广义卡尔曼滤波。实际需要表明,该算法比文献 ̄[1]中线性系统的分层融合法更有应用前景。

A new method for state estimation of general linear multisensor system, i.e.a generalized algorithm for hierarchical fusion is presented.The formulas for hierarchcal fusion estimation of the system and the properties of hierarchical fusion estimation are derived and proved.In addition,the basic reason of improvment of the hierarchical fusion estimation and its general characteristics are also analyzed.

针对一般线性的多传感系统,提出一种新的状态估计法即推广的分层融合算法.文中推出该系统分层融合估计的公式;指出并证明该分层融合估计所具有的性质;找出改变该系统分层融合估计精度的最根本原因;说明该分层融合估计具有一般性的特点.

The mathematical and physical properties of an algorithm for hierarchical fusion proposed in [1] are studied in this paper. First, the concepts for innovation and gain of fusing tracks are proposed. Second, their mathematical and physical properties are analyzed and proved.Final, we show that the hierarchical fusion estimate is a linear, unbiased, minimum variance estimate based on filter and prediction of each sensor. These properties reveal the essence of the hierarchical fusion eseianate in [1] and have of...

The mathematical and physical properties of an algorithm for hierarchical fusion proposed in [1] are studied in this paper. First, the concepts for innovation and gain of fusing tracks are proposed. Second, their mathematical and physical properties are analyzed and proved.Final, we show that the hierarchical fusion estimate is a linear, unbiased, minimum variance estimate based on filter and prediction of each sensor. These properties reveal the essence of the hierarchical fusion eseianate in [1] and have of great value for solving problem on multisensor multitarget.

本文主要研究文[1]提出的分层融合算法的数学、物理性质.定义了分层融合估计中的融合航迹的新息和融合增益,分析并证明了它们所具有的数学、物理性质,最后得出并证明该分层融合估计,就是基于各传感器的滤波及其预测的线性无偏最小方差估计的结论.这进一步揭示了分层融合估计的本质,并对正确使用该算法解决多传感器多目标跟踪问题有参考意义.

 
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