船舶远程监控数据的动态采集方法
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摘要
为了提高对船舶的远程监控能力,提出一种基于多传感器组网及融合跟踪识别的船舶远程监控数据动态采集方法,构建船舶远程监控数据采集的无线传感器网络模型,进行传感器节点的自适应分布式优化定位设计,采用量化融合跟踪方法进行船舶远程监控数据挖掘和特征提取,构建反馈均衡滤波器进行数据采集后的抗干扰滤波处理,提高数据采集的干扰抑制能力,结合数据挖掘算法实现对船舶监控数据的动态采集。仿真结果表明,采用该方法进行船舶远程监控数据采集的准确性好,抗干扰能力较强,输出信噪比较高。
In order to improve the capability of ship remote monitoring,a dynamic data acquisition method based on multi-sensor networking and fusion tracking identification is proposed.The wireless sensor network model of remote monitoring data acquisition is constructed,and the adaptive distributed optimal positioning design of sensor nodes is carried out.The quantitative fusion tracking method is used to mine the data and extract the features of the remote monitoring of the ship,and the feedback equalization filter is constructed to deal with the anti-interference filtering after the data acquisition,so as to improve the interference suppression ability of the data acquisition with data mining algorithm.The simulation results show that the method has good accuracy,strong anti-jamming ability and high output signal-to-noise ratio(SNR).
In order to improve the capability of ship remote monitoring,a dynamic data acquisition method based on multi-sensor networking and fusion tracking identification is proposed.The wireless sensor network model of remote monitoring data acquisition is constructed,and the adaptive distributed optimal positioning design of sensor nodes is carried out.The quantitative fusion tracking method is used to mine the data and extract the features of the remote monitoring of the ship,and the feedback equalization filter is constructed to deal with the anti-interference filtering after the data acquisition,so as to improve the interference suppression ability of the data acquisition with data mining algorithm.The simulation results show that the method has good accuracy,strong anti-jamming ability and high output signal-to-noise ratio(SNR).
引文
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