Abstract: A distributed hierarchical information fusion algorithm is proposed in wireless sensor network.In the source，the Kalman filtering and signal processing methods are used to reduce the power consumption and data collision.In the sink，the dynamic weighted fusion algorithm based on linear minimum variance sense is adopted.This method is minimize the overall power consumption and the probability of collision in the network as well.A simple example is performed to verify the effectivity and reliability of this method.

Key words: wireless sensor networks, Kalman filtering, distributed hierarchical information fusion

摘要： 提出了基于无线传感器网络的分布递阶信息融合方法，下层源节点采用卡尔曼滤波及基于减少能耗和网络冲突的数据处理方法，上层汇聚节点采用方差最小的加权信息融合方法，该方法能有效降低传感器网络能耗和网络信息冲突，仿真结果表明了该方法的有效性和可靠性。

关键词: 无线传感器网络, 卡尔曼滤波, 分布递阶信息融合