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分布式kalman滤波器
相关语句
  distributed kalman filter
     Optimal Distributed Kalman Filter Using Successive Orthogonalization Procedure
     采用逐次正交化法的最优分布式Kalman滤波器
短句来源
     The distributed kalman filter of multi-sensor data fusion is introduced,and the consensus measure is applied to the distributed kalman filter.
     分析了用于多传感器数据融合的分布式Kalman滤波方法,并将经过一致性检验的量测数据引入分布式Kalman滤波器进行数据融合;
短句来源
  相似匹配句对
     Multisensor Distributed Fusion Kalman Predictor
     多传感器分布式融合Kalman预报器
短句来源
     Self-tuning Distributed Information Fusion Kalman Smoother
     自校正分布式信息融合Kalman平滑器
     Effective Distributed Kalman Filter
     一种有效的分布式离散Kalman滤波器
短句来源
     The Designation of Distributed Programs Based on Corba
     分布式程序设计
短句来源
     Optimal Distributed Kalman Filter Using Successive Orthogonalization Procedure
     采用逐次正交化法的最优分布式Kalman滤波器
短句来源
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A calculated method of successive orthogonalization procedure which can maintain optimal Distributed Kalman Filtration is presented in this paper. The difficult problem of non-real-time encountered in global Kalman Filtration used in large systems may be solved. This optimal algorithm is suitable for parallel processing on multiprocessor. Using this procedure, the calculation time may be shortened and the real-time of filtering can be ensured. This method is obviously superior to the general sub-optimal Distributed...

A calculated method of successive orthogonalization procedure which can maintain optimal Distributed Kalman Filtration is presented in this paper. The difficult problem of non-real-time encountered in global Kalman Filtration used in large systems may be solved. This optimal algorithm is suitable for parallel processing on multiprocessor. Using this procedure, the calculation time may be shortened and the real-time of filtering can be ensured. This method is obviously superior to the general sub-optimal Distributed Kalman Filter.

为解决大系统中应用整体式Kalman滤波遇到的非实时性难题,本文提出一种能保持最优的分布式Kalman滤波计算方法——逐次正交化法。这是一种适合多微机并行计算的最优算法,确保滤波的“实时性”,优于一般次优分布式Kalman滤波器

An effective distributed kalman filter on the basis of the improved method of the consensus measure theory is promoted.The distributed kalman filter of multi-sensor data fusion is introduced,and the consensus measure is applied to the distributed kalman filter.When statistic character of disturbing noise changes,the simulation result shows that the filter can improve the fusion precision and dependability.

运用一致性检验原理,提出了一种有效的分布式离散Kalman滤波器;分析了用于多传感器数据融合的分布式Kalman滤波方法,并将经过一致性检验的量测数据引入分布式Kalman滤波器进行数据融合;当干扰噪声的统计特征发生变化时,仿真结果表明该滤波器可以大大提高数据融合的精度。

 
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