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基于多个虚拟位置的长期演进（LTE）信号同步传播建模与基站定位

Simultaneous LTE Signal Propagation Modelling and Base Station Positioning Based on Multiple Virtual Locations.

作者信息

Cho Seong-Yun

机构信息

Department of Mechanical Automotive Engineering, Kyungil University, 50 Gamasil-gil, Hayang-eup, Gyeongsan-si 38428, Gyeongsangbuk-do, Korea.

出版信息

Sensors (Basel). 2022 Aug 8;22(15):5917. doi: 10.3390/s22155917.

DOI:10.3390/s22155917
PMID:35957474
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9371393/
Abstract

In the Long Term Evolution (LTE) system, the Signal Propagation Model (SPM) and the location information of the base stations are required for positioning a smartphone. To this end, this paper proposes a technique for estimating the SPM and the location of the base station at the same time using location-based Reference Signal Received Power (RSRP) information acquired in a limited area. In the proposed technique, multiple Virtual Locations (VLs) for a base station are set within the service area. Signal propagation modelling is performed based on the assumptions that a base station is in each VL and the RSRP measurements are obtained from the corresponding base station. The residuals between the outputs of the estimated SPM and the RSRP measurements are then calculated. The VL with the minimum sum of the squared residuals is determined as the location of the base station. At the same time, the SPM estimated based on the corresponding VL is selected as the SPM of the base station. As a result of the experiment in Seoul, it was confirmed that the positions of seven base stations were estimated with an average accuracy of 40.2 m.

摘要

在长期演进（LTE）系统中，定位智能手机需要信号传播模型（SPM）和基站的位置信息。为此，本文提出了一种利用在有限区域内获取的基于位置的参考信号接收功率（RSRP）信息同时估计SPM和基站位置的技术。在所提出的技术中，在服务区域内为基站设置多个虚拟位置（VL）。基于基站位于每个VL且RSRP测量值来自相应基站的假设进行信号传播建模。然后计算估计的SPM输出与RSRP测量值之间的残差。将残差平方和最小的VL确定为基站的位置。同时，选择基于相应VL估计的SPM作为基站的SPM。在首尔进行的实验结果表明，七个基站的位置估计平均精度为40.2米。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18ca/9371393/78f4e996f15b/sensors-22-05917-g008a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18ca/9371393/1b3105193afd/sensors-22-05917-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18ca/9371393/8c279a1ab363/sensors-22-05917-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18ca/9371393/30e96ea3d676/sensors-22-05917-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18ca/9371393/4c2f0f66fe7a/sensors-22-05917-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18ca/9371393/169de2ad9e95/sensors-22-05917-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18ca/9371393/746e73ec24ff/sensors-22-05917-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18ca/9371393/c259ffe5f399/sensors-22-05917-g007a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18ca/9371393/78f4e996f15b/sensors-22-05917-g008a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18ca/9371393/1b3105193afd/sensors-22-05917-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18ca/9371393/8c279a1ab363/sensors-22-05917-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18ca/9371393/30e96ea3d676/sensors-22-05917-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18ca/9371393/4c2f0f66fe7a/sensors-22-05917-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18ca/9371393/169de2ad9e95/sensors-22-05917-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18ca/9371393/746e73ec24ff/sensors-22-05917-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18ca/9371393/c259ffe5f399/sensors-22-05917-g007a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18ca/9371393/78f4e996f15b/sensors-22-05917-g008a.jpg

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本文引用的文献

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Surface Correlation-Based Fingerprinting Method Using LTE Signal for Localization in Urban Canyon.
Sensors (Basel). 2019 Jul 29;19(15):3325. doi: 10.3390/s19153325.