互联网环境下传输特征数据采集精度估计

摘要

对互联网环境下数据传输过程特征的采集精度的估计,能够有效提高数据传输的正确性.对传输数据特征采集精度估计精度的评估,需要结合二进制向量描述方法选取数据特征,对传输数据的联合参量进行估计,完成对传输数据特征采集精度估计精度的估计.传统方法选择一个数据采集区域中心节点的取样值,获得数据传输区域测量值,但忽略了对联合参数的估计,导致其数据采集精度的估计效果不理想.提出基于相干功率谱密度估计的互联网环境下传输特征数据采集精度估计方法.计算传输数据时间序列的自相关函数,结合二进制向量描述方法进行传输数据的特征优选,利用时间联合估计方法对传输数据进行特征检测和联合参量估计,实现传输数据特征的准确采集,实现对数据采集的高精度估计.实验结果表明,所提方法对数据传输特征的采集精度较高,能够高效对传输特征数据采集的精度进行估计.%Traditionally,the method selects a sampling value of center node in data acquisition area to obtain the measured data of data transmission area,but the estimation of joint parameter is ignored.In this article,we put forward a method for estimating the acquisition accuracy of data transmission characteristics in Internet environment based on the estimation of power spectral density.At first,the auto-correlative function of time series of transmission data is calculated.Combined with the binary vector description method,we carry out the feature selection of transmission data.Finally,the joint estimation method of time is used to detect features and estimate joint parameters.Thus,we achieve the accurate collection of data transmission characteristics and the estimation of data acquisition with high precision.Simulation results show that the proposed method has high precision for collecting data transmission characteristics.It can efficiently estimate the precision of data transmission characteristics.