限幅滤波算法在WSN数据预处理中的应用

摘要

由于现实应用中传感器节点稀疏部署的特点,感知数据不服从特定的统计规律,而传统的疏失误差剔除方法仅从数学的角度处理数据不能反映数据随时间变化的特性,并且要求数据服从正态分布,无法有效的处理这些现实应用中的数据.提出了将限幅滤波算法应用于WSN数据预处理,解决以上提出的问题.最后通过实验验证表明应用限幅滤波算法进行WSN数据预处理具有更好的疏失误差查找准确率,误报率更低.%As the sparse deployment of sensor nodes in the project, the senor data don't obey statistical law.The traditional method of removing negligent errors only processing data from the view of mathematics, can't reflect the characteristics of data changes with time.And this kinds of methods require the data to normal distribution which unable to effectively deal with these reality application data.Taking amplitude-limiting filtering algorithm applied to WSN data pretreatment, to solve the above questions are proposed.The experiments verify that the use of amplitude-limiting filtering algorithm WSN data pretreatment has better leverage error rate, the rate of false positives search even lower.