2D/3D indoor localization using multiple leaky coaxial cables over irregular wireless coverage environment.

在不规则的无线覆盖环境中使用多条泄漏同轴电缆进行 2D/3D 室内定位。

• 批准号: 20K04484
• 负责人: 侯 亜飛
• 金额: $ 2.83万
• 依托单位: Okayama University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2020
• 资助国家: 日本
• 起止时间: 2020-04-01 至 2024-03-31
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-20K04484/
• 关键词: LCX localization; Particle filter; MIMO capacity; Spatial modulation; 2D/3D localization; MIMO; Neural Network; RSSI prediction; LCX位置推定; 無線システム; 信号処理; アンテナ技術

In this year, a particle filter-based localization method is proposed. The proposed method uses LCXs to receive the signals from the target user. The TOAs of the signals at are utilized as the indicator for filtering in the localization process.Different from localization methods in the previous work, the proposed particle filter-based method can be applied not only in the 2-D localization scenario but also in the 3-D localization scenario. The results show that the proposed method can achieve promising localization accuracy in both 2-D and 3-D scenarios.Furthermore, we also investigated the capacity improvement of LCX system using spatial modulation with the on/off the LCX slots. We proposed a solution using Genetic Algorithms (GA) to find an optimal solution for On/off patterns.

本文提出了一种基于粒子滤波的定位方法。所提出的方法使用LCX接收来自目标用户的信号。定位过程中利用信号到达时间作为滤波的指标，与以往的定位方法不同，本文提出的基于粒子滤波的定位方法不仅适用于二维定位，而且适用于三维定位。实验结果表明，该方法在二维和三维场景下均能获得较好的定位精度。此外，我们还研究了LCX时隙的开/关对空间调制LCX系统容量的影响。我们提出了一种解决方案，使用遗传算法（GA）找到一个最佳的解决方案开/关模式。

项目成果

RSSI-based indoor localization using leaky coaxial cable with a PNN approach

使用漏泄同轴电缆和 PNN 方法进行基于 RSSI 的室内定位

• 发表时间: 2021
• 作者: 中田 信穂;石井 光治;Junjie Zhu; Pengcheng Hou; Kenta Nagayama; Yafei Hou; Satoshi Denno
• 通讯作者: Junjie Zhu; Pengcheng Hou; Kenta Nagayama; Yafei Hou; Satoshi Denno

Capacity Loss From Localization Error in MIMO Channel Using Leaky Coaxial Cable

• DOI: 10.1109/access.2021.3053034
• 发表时间: 2021-01-01
• 期刊: IEEE ACCESS
• 影响因子: 3.9
• 作者: Zhu, Junjie;Hou, Yafei;Denno, Satoshi
• 通讯作者: Denno, Satoshi

A proposal of spatial modulation using on/off the slots of leaky coaxial cable

一种利用漏泄同轴电缆开/关缝隙进行空间调制的方案

• 发表时间: 2022
• 作者: 小手川 史晃;棟安 実治;吉田 壮;Kenta Nagayama; Junjie Zhu; Pengcheng Hou; Yafei Hou; Satoshi Denno
• 通讯作者: Kenta Nagayama; Junjie Zhu; Pengcheng Hou; Yafei Hou; Satoshi Denno

Two-Dimensional RSSI-Based Indoor Localization Using Multiple Leaky Coaxial Cables With a Probabilistic Neural Network

• DOI: 10.1109/access.2022.3153083
• 发表时间: 2022
• 期刊: IEEE Access
• 影响因子: 3.9
• 作者: Junjie Zhu;Pengcheng Hou;Kenta Nagayama;Yafei Hou;S. Denno;Rian Ferdian

Indoor Localization Using Leaky Coaxial Cable over a Multipath-rich Linear Cell Environment

• DOI: 10.1109/lifetech52111.2021.9391899
• 发表时间: 2021-03
• 期刊: 2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech)
• 作者: Junjie Zhu;Kenta Nagayama;Yafei Hou;S. Denno