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融合滤波器
相关语句
  fusion filter
     Design of multisensor H_∞ fusion filter based on LMI
     基于LMI的多传感器H_∞融合滤波器设计
短句来源
     Optimal and Self-tuning Information Fusion Filter for Descriptor Systems
     广义系统最优与自校正信息融合滤波器
短句来源
     For the information fusion filter,we consider the correlation between local filtering errors,and avoid to compute the inverses of the error variance matrices of the local filtering,and avoid to compute weighted matrices,only require to compute weighted coefficients. It is easy to apply in real time.
     该信息融合滤波器考虑了局部滤波误差的相关性 ,避免了局部滤波误差方差阵的逆矩阵的计算 ,也避免了加权矩阵的计算 ,只要求计算加权系数 ,便于实时应用。
短句来源
     It avoids the Riccati equation and can be applied to design the self-tuning information fusion filter for systems with unknown model parameters and unknown variances.
     它避免了Riccati方程,可用于设计含未知模型参数和含未知噪声方 差系统的自校正信息融合滤波器
短句来源
  “融合滤波器”译为未确定词的双语例句
     A simulation example shows that two methods yield the same result, but a left-coprime factorization must be performed to construct the ARMA innovation model, and the accuracy difference of three fusion filters is not obvious.
     一个仿真例子说明了两种方法引出相同的结果,但构造ARMA新息模型时必须进行左素分解,且说明了三种加权融合滤波器的精度无显著差异。
短句来源
     Based on LMIs,a characterization of all H_∞ fusion filters is obtained,and a numerical example is presented.
     基于LMI给出并证明了H∞融合滤波器的解,给出了数值仿真实例。
短句来源
     Compared with the single sensor case,the accuracy of the fused filter is improved.
     同单传感器情形相比,可提高融合滤波器的精度。
短句来源
     Experimental result indicates that the blended signal is identical with the actual signal except the frequency span about the crossover frequency 10 Hz (the max attenuation magnitude is -4.5 dB and the degree of phase-lag or phase-lead is 25°).
     融合滤波器的融合效果测试结果表明,融合后的数据除了在交接频率10Hz附近的测量特性与真实数据有误差(幅值最大衰减-4.5dB,相移最大25o)外,在别的频段都与真实数据吻合得比较好。
短句来源
     Compared with the single sensor case,the accuracy of the fused filter is improved.
     同单传感器情形相比,可提高融合滤波器精度.
短句来源
更多       
  相似匹配句对
     Fast information fusion Kalman filter
     快速信息融合Kalman滤波器
短句来源
     Information fusion Wiener signal filter
     信息融合WIENER信号滤波器
短句来源
     Medical image fusion
     医学图像融合
短句来源
     Auto tracked Filter
     自动跟踪滤波器
短句来源
     Decentralized Filter
     分散滤波器
短句来源
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  fusion filter
However, in our case we use cross-cube fusion filter function.
      


As the high precision aircraft such as the modern spacecraft becomes more complicated,the safe operating problem also becomes more and more significant.FDIR (Fault Detection,Isolation and Recovery) techniques are important guarantee of the reliability of spacecraft.Based on Kalman filtering estimation algorithm,a kind of FDIR method based on hierarchic alliance of filter family is proposed.According to the concept of the backup filter,this method constructs a kind of dendriform hierarchic alliance structure...

As the high precision aircraft such as the modern spacecraft becomes more complicated,the safe operating problem also becomes more and more significant.FDIR (Fault Detection,Isolation and Recovery) techniques are important guarantee of the reliability of spacecraft.Based on Kalman filtering estimation algorithm,a kind of FDIR method based on hierarchic alliance of filter family is proposed.According to the concept of the backup filter,this method constructs a kind of dendriform hierarchic alliance structure of fusion filter.On the basis of that,the multilevel FDIR can be designed and performed.A simulation example of INS/GPS/Doppler integrated navigation system illustrates the feasibility and effectiveness of this method.The multi sensor information processing technique based on the hierarchic alliance filter structure can resolve the limitation of the centralized Kalman filter and the normal federated filter,and has significance to enhance the fault to lerant ability of the system.Fault Detection,Isolation and Recovery) tech

随着现代航天器等高精度飞行系统的日益复杂 ,飞行控制系统的安全运行问题愈来愈突出地表现出来。故障检测、隔离和重构 ( FDIR)技术是航天器可靠性的重要保证。文章在卡尔曼滤波估计算法的基础上 ,提出了基于递阶联合滤波器族的故障检测、隔离和重构方法。该方法根据备份滤波器的概念 ,构造了一种融合滤波器的树状递阶联合结构 ,在此基础上 ,可以设计并实现多级故障检测和隔离措施 ,进而有效地完成系统的重构功能。通过一个 INS/GPS/Doppler组合导航系统的仿真实例 ,说明了该方法的可行性和有效性。基于递阶联合滤波器结构的多传感器信息处理技术克服了集中卡尔曼滤波器和普通联合滤波器的缺陷 ,对提高多传感器系统的容错性能具有重要意义

An optimal information fusion Kalman filter weighted by scalars is presented for two sensor information fusing.For the information fusion filter,we consider the correlation between local filtering errors,and avoid to compute the inverses of the error variance matrices of the local filtering,and avoid to compute weighted matrices,only require to compute weighted coefficients.It is easy to apply in real time.A simulation example for a tracking system shows its effectiveness.

针对两传感器信息融合 ,提出了一种在标量加权下的最优信息融合 Kalm an滤波器。该信息融合滤波器考虑了局部滤波误差的相关性 ,避免了局部滤波误差方差阵的逆矩阵的计算 ,也避免了加权矩阵的计算 ,只要求计算加权系数 ,便于实时应用。一个跟踪系统的仿真例子验证了其有效性。

Using the modern time series analysis method based on the autoregressive moving average (ARMA) model, and the Kalman filtering method based on Riccati equation, for the two-sensor system with the position and velocity measurements, under the linear minmum variance information fusion criterion, information fusion Kalman tracking filters weighted by matrices, diagonal matrices and scalars respectively are presented, where the information fusion Kalman filter weighted by scalars obviously reduces the computional...

Using the modern time series analysis method based on the autoregressive moving average (ARMA) model, and the Kalman filtering method based on Riccati equation, for the two-sensor system with the position and velocity measurements, under the linear minmum variance information fusion criterion, information fusion Kalman tracking filters weighted by matrices, diagonal matrices and scalars respectively are presented, where the information fusion Kalman filter weighted by scalars obviously reduces the computional burden and is suitable for real time applications. A simulation example shows that two methods yield the same result, but a left-coprime factorization must be performed to construct the ARMA innovation model, and the accuracy difference of three fusion filters is not obvious.

应用基于ARMA模型的现代时间序列分析方法,和应用基于Riccati方程的经典Kalman滤波方法,对带位置和速度观测的两传感器系统,在线性最小方差信息融合准则下,分别提出了按矩阵加权、对角阵加权和标量加权的三种信息融合Kalman跟踪滤波器,其中,按标量加权可明显减少计算负担,便于实时应用。一个仿真例子说明了两种方法引出相同的结果,但构造ARMA新息模型时必须进行左素分解,且说明了三种加权融合滤波器的精度无显著差异。

 
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