Indoor BLE and MEMS based multi-floor fusion positioning algorithm

Based on the data fusion from micro electro mechanical system (MEMS) sensors and low-power bluetooth (BLE),an indoor BLE and MEMS based multi-floor positioning algorithm was proposed.First of all,the affinity propagation clustering,outlier detection and received signal strength indicator (RSSI) filt...

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Main Authors: Mu ZHOU, Bin WANG, Zeng-shan TIAN, Qian-kun ZHANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2017-05-01
Series:Tongxin xuebao
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Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017076/
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author Mu ZHOU
Bin WANG
Zeng-shan TIAN
Qian-kun ZHANG
author_facet Mu ZHOU
Bin WANG
Zeng-shan TIAN
Qian-kun ZHANG
author_sort Mu ZHOU
collection DOAJ
description Based on the data fusion from micro electro mechanical system (MEMS) sensors and low-power bluetooth (BLE),an indoor BLE and MEMS based multi-floor positioning algorithm was proposed.First of all,the affinity propagation clustering,outlier detection and received signal strength indicator (RSSI) filtering algorithms were applied to denoise the fingerprint database.Second,by using the extended Kalman filter,the robust M estimation algorithm was used to perform the optimal estimation of the two-dimensional target position.Finally,the barometer output and geographical position information was considered to realize the height estimation of the target.The experimental results show that the proposed system is able to achieve the horizontal and vertical positioning errors lower than 0.7 m and 0.35 m respectively in multi-floor fusion positioning.
format Article
id doaj-art-9c36686c9a4a47dc881158cad319b4f3
institution Kabale University
issn 1000-436X
language zho
publishDate 2017-05-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-9c36686c9a4a47dc881158cad319b4f32025-01-14T07:12:19ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-05-013811059710048Indoor BLE and MEMS based multi-floor fusion positioning algorithmMu ZHOUBin WANGZeng-shan TIANQian-kun ZHANGBased on the data fusion from micro electro mechanical system (MEMS) sensors and low-power bluetooth (BLE),an indoor BLE and MEMS based multi-floor positioning algorithm was proposed.First of all,the affinity propagation clustering,outlier detection and received signal strength indicator (RSSI) filtering algorithms were applied to denoise the fingerprint database.Second,by using the extended Kalman filter,the robust M estimation algorithm was used to perform the optimal estimation of the two-dimensional target position.Finally,the barometer output and geographical position information was considered to realize the height estimation of the target.The experimental results show that the proposed system is able to achieve the horizontal and vertical positioning errors lower than 0.7 m and 0.35 m respectively in multi-floor fusion positioning.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017076/indoor positioningmulti-floor,data fusionBLEMEMS
spellingShingle Mu ZHOU
Bin WANG
Zeng-shan TIAN
Qian-kun ZHANG
Indoor BLE and MEMS based multi-floor fusion positioning algorithm
Tongxin xuebao
indoor positioning
multi-floor,data fusion
BLE
MEMS
title Indoor BLE and MEMS based multi-floor fusion positioning algorithm
title_full Indoor BLE and MEMS based multi-floor fusion positioning algorithm
title_fullStr Indoor BLE and MEMS based multi-floor fusion positioning algorithm
title_full_unstemmed Indoor BLE and MEMS based multi-floor fusion positioning algorithm
title_short Indoor BLE and MEMS based multi-floor fusion positioning algorithm
title_sort indoor ble and mems based multi floor fusion positioning algorithm
topic indoor positioning
multi-floor,data fusion
BLE
MEMS
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017076/
work_keys_str_mv AT muzhou indoorbleandmemsbasedmultifloorfusionpositioningalgorithm
AT binwang indoorbleandmemsbasedmultifloorfusionpositioningalgorithm
AT zengshantian indoorbleandmemsbasedmultifloorfusionpositioningalgorithm
AT qiankunzhang indoorbleandmemsbasedmultifloorfusionpositioningalgorithm