物联传感网噪声过滤的自适应线性权值算法  

Content League Sensing Nets Noise Filtering Adaptive Linear Weights Algorithm

作　　者：凌云[1] 

机构地区：[1]苏州大学,江苏苏州215006

出　　处：《微电子学与计算机》2012年第10期47-50,共4页Microelectronics & Computer

摘　　要：针对物联传感网络由于数据类型不一致造成散粒噪声.提出一种物联传感网络散粒噪声过滤的自适应线性权值算法.提取物联传感网络散粒噪声特征参数,对上述参数进行线性变换,获取噪声关联特征参数自适应线性权值,完成物联传感网络散粒噪声过滤.实验表明,该算法能够有效过滤物联传感网络中的散粒噪声,取得了令人满意的结果.For content league sensing network because of data type is not consistent cause scattered grain of noise. Put forward a kind of thing for united sensor network of noise filtering scattered adaptive linear weights algorithm, extract league sensing network scattered grain of the noise characteristics parameters for the above parameters for linear transformation, get noise associated characteristic parameters adaptive linear weights, complete content league sensing network spread particulate noise filter. Through the analysis of experimental results, this algorithm can effectively filter content league of sensor network scattered grain of noise.

关 键 词：物联网 传感网络 散粒噪声 

分 类 号：TP31[自动化与计算机技术—计算机软件与理论]