A Machine Learning Approach for Hierarchical Localization Based on Multipath MIMO Fingerprints

Jiancun Fan; Susu Chen; Xinmin Luo; Ying Zhang; Geoffrey Ye Li

doi:10.1109/LCOMM.2019.2929148

A Machine Learning Approach for Hierarchical Localization Based on Multipath MIMO Fingerprints

Jiancun Fan
, Susu Chen
, Xinmin Luo
, Ying Zhang
, Geoffrey Ye Li

Xi'an Jiaotong University
Georgia Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

25 引用（Scopus）

摘要

Localization based on channel state information (CSI) fingerprints in multiple-input multiple-output (MIMO) systems is one of the most promising positioning technologies. In this letter, a machine learning approach is developed for hierarchical localization exploiting multipath MIMO fingerprints. By using multipath MIMO CSI in the time domain, instead in the frequency domain, our hierarchical scheme uses coarse-to-fine process and can achieve accurate positioning, which is demonstrated by simulation results.

源语言	英语
期刊论文编号	8764436
页（从-至）	1765-1768
页数	4
期刊	IEEE Communications Letters
卷	23
期	10
DOI	https://doi.org/10.1109/LCOMM.2019.2929148
出版状态	已出版 - 10月 2019

访问文件

10.1109/LCOMM.2019.2929148

其它文件与链接

链接到 Scopus 的出版物

引用此

@article{d8d4315dafa2467d94bdcc3a3303ad74,

title = "A Machine Learning Approach for Hierarchical Localization Based on Multipath MIMO Fingerprints",

abstract = "Localization based on channel state information (CSI) fingerprints in multiple-input multiple-output (MIMO) systems is one of the most promising positioning technologies. In this letter, a machine learning approach is developed for hierarchical localization exploiting multipath MIMO fingerprints. By using multipath MIMO CSI in the time domain, instead in the frequency domain, our hierarchical scheme uses coarse-to-fine process and can achieve accurate positioning, which is demonstrated by simulation results.",

keywords = "Machine learning, hierarchical localization, multipath MIMO fingerprints, softmax regression classifier",

author = "Jiancun Fan and Susu Chen and Xinmin Luo and Ying Zhang and Li, \{Geoffrey Ye\}",

note = "Publisher Copyright: {\textcopyright} 1997-2012 IEEE.",

year = "2019",

month = oct,

doi = "10.1109/LCOMM.2019.2929148",

language = "英语",

volume = "23",

pages = "1765--1768",

journal = "IEEE Communications Letters",

issn = "1089-7798",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "10",

}

TY - JOUR

T1 - A Machine Learning Approach for Hierarchical Localization Based on Multipath MIMO Fingerprints

AU - Fan, Jiancun

AU - Chen, Susu

AU - Luo, Xinmin

AU - Zhang, Ying

AU - Li, Geoffrey Ye

PY - 2019/10

Y1 - 2019/10

N2 - Localization based on channel state information (CSI) fingerprints in multiple-input multiple-output (MIMO) systems is one of the most promising positioning technologies. In this letter, a machine learning approach is developed for hierarchical localization exploiting multipath MIMO fingerprints. By using multipath MIMO CSI in the time domain, instead in the frequency domain, our hierarchical scheme uses coarse-to-fine process and can achieve accurate positioning, which is demonstrated by simulation results.

AB - Localization based on channel state information (CSI) fingerprints in multiple-input multiple-output (MIMO) systems is one of the most promising positioning technologies. In this letter, a machine learning approach is developed for hierarchical localization exploiting multipath MIMO fingerprints. By using multipath MIMO CSI in the time domain, instead in the frequency domain, our hierarchical scheme uses coarse-to-fine process and can achieve accurate positioning, which is demonstrated by simulation results.

KW - Machine learning

KW - hierarchical localization

KW - multipath MIMO fingerprints

KW - softmax regression classifier

UR - https://www.scopus.com/pages/publications/85073519746

U2 - 10.1109/LCOMM.2019.2929148

DO - 10.1109/LCOMM.2019.2929148

M3 - 文章

AN - SCOPUS:85073519746

SN - 1089-7798

VL - 23

SP - 1765

EP - 1768

JO - IEEE Communications Letters

JF - IEEE Communications Letters

IS - 10

M1 - 8764436

ER -

A Machine Learning Approach for Hierarchical Localization Based on Multipath MIMO Fingerprints

摘要

访问文件

其它文件与链接

学术指纹

引用此