Optimal information fusion Kalman filtering for WSNs with multiplicative noise
Optimal information fusion Kalman filtering for WSNs with multiplicative noise
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DOI：
10.1109/icsse.2012.6257167
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发表时间：
2012-08
期刊：
影响因子：
--
通讯作者：
Xiao Lu;Xi Wang;Haixia Wang
中科院分区：
文献类型：
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作者：
Xiao Lu;Xi Wang;Haixia Wang
研究了无线传感器网络系统的最优信息融合卡尔曼滤波器。有两个子系统，相应的测量来自两个不同的无线通道，其中系统受到乘性噪声的破坏。基于概率法和最小方差意义上的标量加权最优信息融合准则，给出了具有丢包和乘性噪声的无线传感器网络信息融合卡尔曼滤波器。
The optimal information fusion Kalman filter for wireless sensor network systems is studied. There are two subsystems, and the corresponding measurements are from two different wireless channels, where the system is corrupted by multiplicative noises. Based on the probability method and the scalar weighting optimal information fusion criterion in the minimum variance sense, the information fusion Kalman filter for wireless sensor networks with packet loss and multiplicative noises is given.