ZigBee室内定位算法中数据预处理  

Data Preprocessing in ZigBee Indoor Localization Algorithm

作　　者：樊晓冬 王佳斌 蔡灿辉 FAN Xiaodong;WANG Jiabin;CAI Canhui(College of Information Science and Engineering,Huaqiao University,Xiamen 361021,China;College of Engineering,Huaqiao University,Quanzhou 362021,China)

机构地区：[1]华侨大学信息科学与工程学院,福建厦门361021 [2]华侨大学工学院,福建泉州362021

出　　处：《华侨大学学报（自然科学版）》2018年第2期293-298,共6页Journal of Huaqiao University(Natural Science)

基　　金：国家自然科学基金资助项目(61372107);福建省泉州市科技计划重点项目(2003Z12)

摘　　要：为了尽可能地消除ZigBee网络中接收到的链路质量指示(LQI)值因受到各种干扰而产生的波动性,对实际测量获得的LQI值使用不同的小波函数、不同的阈值及不同的分解层数进行小波降噪实验.实验结果表明:使用小波降噪的方法,能够比较明显地滤除ZigBee网络中接收到的LQI值中所包含的噪声,同时使用不同的小波、不同的阈值及不同的分解层数,其降噪效果不同.In order to eliminate as much as possible the fluctuant,affected by various kinds of interference of the link quality indicator(LQI)values received in the ZigBee network,the experments for the LQI values obtained from the actual measurement are carried out using wavelet denoising method with different wavelet functions,different thresholds and different decomposition levels.The experimental results show that using the wavelet denoising method can obviously filtering the noise in the LQI values received in the ZigBee network.Meanwhile,using different wavelet,different threshold and different decomposition levels,the noise reduction effect is different.

关 键 词：ZIGBEE 链路质量指示 小波降噪 曲线拟合 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]