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基于卡尔曼滤波的数据融合在无线传感器网络中的研究
引用本文:邓睿,戴丽莉.基于卡尔曼滤波的数据融合在无线传感器网络中的研究[J].连云港师范高等专科学校学报,2009,26(1):100-102.
作者姓名:邓睿  戴丽莉
作者单位:连云港师范高等专科学校,自然科学系,江苏,连云港,222006
摘    要:为了减少节点传输数据量和网络总能量的消耗,本文针对特定应用模型,提出了基于卡尔曼滤波的数据融合算法,并用MATLAB工具进行仿真实验,证明该融合方法提高数据精确度和可信度.

关 键 词:无线传感器网络  数据融合  卡尔曼滤波

Research on Data Fusion into WSNs Based on Kalman Filter
DENG Rui,DAI Li-li.Research on Data Fusion into WSNs Based on Kalman Filter[J].Journal of Lianyungang Teachers College,2009,26(1):100-102.
Authors:DENG Rui  DAI Li-li
Abstract:Minimizing network traffic and energy consumption is of major concern in such networks. This paper promotes a data fusion method wireless sensor networks based on Kalman filter for this problem, according to the specific applica-tion model. Then it uses simulation tool of MATLAB to hate a simulating experiment. The results indicate that this data fusion method improves the precision and the feasibility of the data.
Keywords:wireless sensor networks  data fusion  Kalman filter
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