CAJ | 학술논문

信息融合技术是一个多学科高度集成的热点研究领域,目前针对煤矿井下环境监测系统的安全隐患问题,提出了一种基于无线传感器网络的分布递阶卡尔曼滤波信息融合算法,其中下层源节点采用改进卡尔曼滤波算法,上层汇聚节点采用方差自适应的加权信息融合算法,该算法能有效降低无线传感器网络能耗和网络信息冲突,实现信号重构.仿真结果表明,该算法具有很高的可靠性和信息融合精度,有较好的工程实用价值.
신식융합기술시일개다학과고도집성적열점연구영역,목전침대매광정하배경감측계통적안전은환문제,제출료일충기우무선전감기망락적분포체계잡이만려파신식융합산법,기중하층원절점채용개진잡이만려파산법,상층회취절점채용방차자괄응적가권신식융합산법,해산법능유효강저무선전감기망락능모화망락신식충돌,실현신호중구.방진결과표명,해산법구유흔고적가고성화신식융합정도,유교호적공정실용개치.
Information fusion technology is a multidisciplinary highly integrated popular research fields. In view of the security threats in the coal mine environmental monitoring system, A distributed hierarchical information fusion algo-rithm is proposed in wireless sensor network. In the source, the inproved Kalman filtering 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, it can realize signal reconstruction. A simple example is performed to verify the reliability and fusioning pre-cision of this method, at the same time it has high fault-tolerant.