[1]吴冲,苏兵,焦筱悛,等.基于改进动态RSSI算法的WIFI室内定位研究[J].常州大学学报(自然科学版),2014,(01):32-36.[doi:10.3969/j.issn.2095-0411.2014.01.008]
　WU Chong,SU Bing,JIAO Xiao-quan,et al.Research on WIFI Indoor Positioning Based on Improved Dynamic RSSI Algorithm[J].Journal of Changzhou University(Natural Science Edition),2014,(01):32-36.[doi:10.3969/j.issn.2095-0411.2014.01.008]
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基于改进动态RSSI算法的WIFI室内定位研究()
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常州大学学报(自然科学版)[ISSN:2095-0411/CN:32-1822/N]

卷:
期数:
2014年01期
页码:
32-36
栏目:
出版日期:
2014-02-28

文章信息/Info

Title:
Research on WIFI Indoor Positioning Based on Improved Dynamic RSSI Algorithm
作者:
吴冲；苏兵；焦筱悛；王徐；
常州大学 信息科学与工程学院,江苏 常州 213164
Author(s):
WU Chong; SU Bing;  JIAO Xiao-quan; WANG Xu
School of Information Science and Engineering,Changzhou University,Changzhou 213164,China
关键词:
动态RSSI信号处理;  修正奇异值;  加权滤波;  WIFI定位
Keywords:
dynamic RSSI signal process;  modified singular value;  weighted filtering;  WIFI positioning
分类号:
TP393.1
DOI:
10.3969/j.issn.2095-0411.2014.01.008
文献标志码:
A
摘要:
针对室内WIFI定位中RSSI信号接受过程中已有的均值滤波法、卡尔曼滤波法无法实现实时剔除和修正奇异值的缺点, 提出了一种改进的动态RSSI信号处理方法。为了提高动态RSSI信号处理的精确度,该算法采用基于平均每跳距离和测量距离误差的改进最小二乘法来修正奇异值,并在不增加硬件的基础上采用加权滤波法再次处理修正后的RSSI值。仿真实验结果表明,本算法具有较高的计算精度,与均值滤波法、卡尔曼滤波法相比,本文算法在平均测距误差以及通信半径对误差的影响方面都有较大的提高。
Abstract:
Realtime culling and modified singular value can not be achieved by the methods of Meaning filter and Kalman filter. An improved dynamic RSSI signal processing methods that improves the accuracy of the dynamic RSSI signal processing, which is based on average hop distance and improved method of generalized least squares measuring distance error correction that are used by the algorithm in this paper, and the revised RSSI value will be processed by weighted filtering method once more. Simulation results show that the algorithm has high accuracy and the precision has been greatly enhanced after filtering ranging error.

参考文献/References:

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备注/Memo

备注/Memo:
基金项目:Galois环导出最高权位序列的研究(61103172); 江苏省产学研创新基金项目(BY2012097) 作者简介:吴冲(1986-),男,江苏徐州人,硕士生; 通讯联系人:苏兵。
更新日期/Last Update: 2014-02-20