[1]吴哲夫,徐强,王中友,等.基于信道状态信息的无源室内定位[J].哈尔滨工程大学学报,2017,38(08):1328-1334.[doi:10.11990/jheu.201605001]
 WU Zhefu,XU Qiang,WANG Zhongyou,et al.Passive indoor human localization based on channel state information[J].hebgcdxxb,2017,38(08):1328-1334.[doi:10.11990/jheu.201605001]
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《哈尔滨工程大学学报》[ISSN:1006-6977/CN:61-1281/TN]

卷:
38
期数:
2017年08期
页码:
1328-1334
栏目:
出版日期:
2017-08-25

文章信息/Info

Title:
Passive indoor human localization based on channel state information
作者:
吴哲夫1 徐强1 王中友2 陈滨3 宣琦1
1. 浙江工业大学 信息工程学院, 浙江 杭州 310023;
2. 中国通信服务杭州公司, 浙江 杭州 310050;
3. 浙江工业大学 艺术学院, 浙江 杭州 310023
Author(s):
WU Zhefu1 XU Qiang1 WANG Zhongyou2 CHEN Bin3 XUAN Qi1
1. College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China;
2. China Comservice Hangzhou Construction Co., Ltd., Hangzhou 310050, China;
3. College of Art, Zhejiang University of Technology, Hangzhou 310023, China
关键词:
无源定位正交频分复用多输入多输出信道状态信息异常值指纹库朴素贝叶斯分类置信度
分类号:
TP393
DOI:
10.11990/jheu.201605001
文献标志码:
A
摘要:
针对传统室内定位方法在准确性及稳定性上的不足,本文提出了一种基于信道状态信息(channel state information,CSI)的无源室内定位方法。该方法采用普通设备搭建了实验平台,离线阶段采集CSI数据建立位置指纹库,在线阶段则利用机器学习的朴素贝叶斯算法进行位置分类。为进一步提高分类准确度,本文还提出了置信度方法,通过综合多条天线对的结果来减少位置误判。实验结果表明,本文所提出方法能有效实现对室内人员的无源定位,可以达到90%以上的准确度。

参考文献/References:

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[7] ZHOU Z, YANG Z, WU C, et al. Towards omnidirectio-nal passive Human Detection[J]. Proceedings of IEEE INFOCOM, 2013, 12(11):3057-3065.
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[9] 朱荣, 白光伟, 沈航, 等. 基于贝叶斯过滤法的CSI室内定位方法[J]. 计算机工程与设计, 2015(3):567-571.ZHU Rong, BAI Guangwei, SHEN Hang, et al. Bayesian filtering based CSI indoor localization method[J]. Computer engineering and design, 2015, 36(3):567-571.
[10] 毕晓君, 夏晓蕾. 基于自适应匹配追踪的MIMO-OFD-M窄带干扰检测[J]. 哈尔滨工程大学学报, 2015(9):1287-1291.BI Xiaojun, XIA Xiaolei. Narrow band interference detection forMIMO-OFDM systems based on sparsityadaptive matching pursuit[J]. Journal of Harbin Engineering University, 2015(9):1287-1291.
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备注/Memo

备注/Memo:
收稿日期:2016-05-02。
基金项目:国家自然科学基金项目(61273212);浙江省自然科学基金项目(LY13F010011,LY14F050004);浙江省科技厅重大专项项目(2014NM002).
作者简介:吴哲夫(1971-),男,副教授.
通讯作者:吴哲夫,E-mail:wzf@zjut.edu.cn
更新日期/Last Update: 2017-08-28