[1]樊晓冬,王佳斌,蔡灿辉.ZigBee室内定位算法中数据预处理[J].华侨大学学报(自然科学版),2018,39(2):286-291.[doi:10.11830/ISSN.1000-5013.201601053]
 FAN Xiaodong,WANG Jiabin,CAI Canhui.Data Preprocessing in ZigBee Indoor Localization Algorithm[J].Journal of Huaqiao University(Natural Science),2018,39(2):286-291.[doi:10.11830/ISSN.1000-5013.201601053]
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ZigBee室内定位算法中数据预处理()
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《华侨大学学报(自然科学版)》[ISSN:1000-5013/CN:35-1079/N]

卷:
第39卷
期数:
2018年第2期
页码:
286-291
栏目:
出版日期:
2018-03-20

文章信息/Info

Title:
Data Preprocessing in ZigBee Indoor Localization Algorithm
文章编号:
1000-5013(2018)02-0286-06
作者:
樊晓冬1 王佳斌2 蔡灿辉2
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
Author(s):
FAN Xiaodong1 WANG Jiabin2 CAI Canhui2
1. College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China; 2. College of Engineering, Huaqiao University, Quanzhou 362021, China
关键词:
ZigBee 链路质量指示 小波降噪 曲线拟合
Keywords:
ZigBee link quality indicator wavelet denosing curve fitting
分类号:
TP393
DOI:
10.11830/ISSN.1000-5013.201601053
文献标志码:
A
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.
Abstract:
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.

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备注/Memo

备注/Memo:
收稿日期: 2016-01-22
通信作者: 王佳斌(1976-),男,副教授,博士研究生,主要从事物联网、嵌入式系统设计及大数据的研究.E-mail:fatwang@hqu.edu.cn.
基金项目: 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)
更新日期/Last Update: 2018-03-20