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融合估计
相关语句
  fusion estimation
     Wavelet Daubechies 4 Based Data Fusion Estimation Algorithm
     基于Daubechies4小波的数据融合估计算法
短句来源
     H∞ optimal state fusion estimation algorithm is presented based on the state fusion estimation of information theory, H∞ theory and the difficulty of paper basis weight estimation.
     基于信息融合理论中的状态融合估计理论及H∞理论,结合纸张定量估计的难点,提出了H∞最优状态融合估计算法。
短句来源
     H_∞ Optimal State Fusion Estimation and Its Application to Paper Basis Weight Estimation
     H_∞最优状态融合估计及其在成纸定量中的应用
短句来源
     Centralized fusion estimation for uncertain multisensor system based on LMI method
     基于LMI方法的参数不确定多传感器系统的集中式融合估计
短句来源
     A New Algorithm of Multiscale Fusion Estimation Based on Kalman Filtering
     基于Kalman滤波的多尺度融合估计新算法
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  fusion estimate
     The algorithms of overall situation optimum information fusion estimate(Ⅱ)
     全局最优信息融合估计算法(Ⅱ)
短句来源
     The algorithms of overall situation optimum information fusion estimate
     全局最优信息融合估计算法(Ⅰ)
短句来源
     Multi-sensor data fusion is one of the indispensably key technology of radar network,from the view of radar network project realizing,the text states the LU-Bang estimate method of single sensor toward target-track,and based on this fact states space-time adjusting question of multi-sensor data fusion,deduces calculation method of best fusion estimate.
     多传感器数据融合是雷达组网不可或缺的关键技术之一,从雷达组网的工程实现角度首先讨论了单传感器对目标点迹的鲁棒估计方法,并在此基础上讨论了多传感器数据融合的时空校准问题,推导了最优融合估计的计算方法。
短句来源
     For the multisensor and single model nonlinear dynamic systems having the same sample rates for every sensor,the fusion estimate on the basis of global information by use of strong tracking filter is established,and the effectiveness of the new algorithm is also illustrated by use of an example.
     对拥有相同采样率的分布式多传感器单模型非线性动态系统 ,应用强跟踪滤波器 ,得到目标状态基于全局信息融合估计结果 ,并利用计算机仿真结果对算法的有效性进行了验证 ;
短句来源
     In order to eliminate measuring interference, a consensus weighting fusion estimate algorithm and the rule of consensus multi-sensor testing are brought forward,and the optimal weight calculation formula is derived by using the multivariate numerical theory.
     为了消除测量干扰,提出一种一致性加权融合估计算法,给出了多传感器一致性检验的准则,并利用多元统计理论推导出了最优权值的计算公式。
短句来源
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  estimation fusion
     This paper presents the effect of the common process noise on track statistical distance and performance of state estimation fusion.
     本文研究动态系统过程噪声对航迹统计距离和状态融合估计性能的影响。
短句来源
     First, computational load on cross-covariance matrix, track statistical distance, and state estimation fusion is estimated and compared. And the effect of the common process noise on track statistical distance and performance of state estimation fusion is simulated.
     文中估计并比较了互协方差矩阵、统计距离及状态融合估计的运算量,仿真研究了观测噪声对航迹统计距离和状态融合估计性能的影响。
短句来源
  “融合估计”译为未确定词的双语例句
     The former was the estimation at scale i based on observation at scales N,N —1,---i.
     多尺度融合算法是在尺度i上获得基于尺度N,N-1,…i上观测传感器的融合估计,算法是由细尺度到粗尺度运行的。
短句来源
     Fusion and Estimation of Dynamic Multiscale System Based on M-Band Wavelet
     基于M带小波的动态多尺度系统融合估计
短句来源
     Study of Adaptive Weighted Fusion EstimatedAlgorithm of Multisensor Data
     多传感器数据自适应加权融合估计算法的研究
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
     Simulation results show that the neural network method is valid and can improve the fusion accuracy.
     仿真结果表明神经网络融合估计可提高跟踪精度 ,并且这种融合方法是有效的。
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  fusion estimation
Based on the theory of information fusion estimation, optimal control of nonlinear discrete control system is investigated.
      
Therefore, the problem of optimal control is transferred into the one of information fusion estimation.
      
Firstly, the nonlinear information fusion estimation theorems are described.
      
Sensor fusion estimation generally yields results superior to single technology estimation.
      


Multisensor data fusion algorithms from abroad are briefly described and summed up and analyzed in this paper to introduce them into the multiradar tracking network. This algorithm by which the multisensor measuring data are processed in parallel before filtering is considered to be better than any others. To find a data fusion algorithm of high tracking accuracies, not only the relation between tracking accuracies and the number of fused data is simulated and compared, but also some of the desirable algorithms...

Multisensor data fusion algorithms from abroad are briefly described and summed up and analyzed in this paper to introduce them into the multiradar tracking network. This algorithm by which the multisensor measuring data are processed in parallel before filtering is considered to be better than any others. To find a data fusion algorithm of high tracking accuracies, not only the relation between tracking accuracies and the number of fused data is simulated and compared, but also some of the desirable algorithms are improved and extended. Finally, theses tracking accuracies of multiradar network resulting from every improved algorithm are simulated and compared. The conclusion of the simulation and analysis indicates that the improved algorithms are evidently better than the original ones.

为了将国外多传感器融合技术引用到雷达网系统中,本文对国外多传感器数据融合技术做了简要叙述,并进行了归纳、分析。作者认为在卡尔曼滤波前,对多个传感器的观测数据进行并行的预处理(融合估计)的算法比其他融合算法要好。为了找到使跟踪精度更高的数据融合算法,本文不仅就参与融合的观测值的数目与跟踪精度的关系进行了仿真比较,而且对几种认为可取的国外算法进行了扩展与改进。最后,将改进后的几种融合算法就其应用于雷达网后的跟踪精度进行了大量的仿真比较。结果表明,改进后的算法明显优于改进前的算法。

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.

 
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