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Improved Indoor Fingerprinting Localization Method Using Clustering Algorithm and Dynamic Compensation

Jingxue Bi, Lu Huang, Hongji Cao, Guobiao Yao, Wengang Sang, Jie Zhen, Yuying Liu
2021 ISPRS International Journal of Geo-Information  
An improved fingerprinting localization method using a clustering algorithm and dynamic compensation was proposed.  ...  Many indoor fingerprinting localization methods are based on signal-domain distances with large localization error and low stability.  ...  The proposed method could be applied in the areas of indoor positioning and indoor navigation based on WiFi, Bluetooth and other wireless sensor networks in a big building, for example, shopping mall,  ... 
doi:10.3390/ijgi10090613 fatcat:ea4fezcosbfnjmqvhrcppqknkq

Sensors and Sensing Technologies for Indoor Positioning and Indoor Navigation

Francesco Potortì, Filippo Palumbo, Antonino Crivello
2020 Sensors  
The potential applications of indoor localization are all-encompassing, from home to wide public areas, from IoT and personal devices to surveillance and crowd behavior applications, and from casual use  ...  and 3D building models, human motion monitoring, robotics and UAV, self-contained sensors, wearable and multi-sensor systems, privacy and security for indoor localization systems.  ...  We are also grateful to the anonymous reviewers for their valuable input, comments, and suggestions for the submitted papers.  ... 
doi:10.3390/s20205924 pmid:33092181 pmcid:PMC7589669 fatcat:s3kgzxfvdzbojolptgamik5npa

A Survey of Recent Indoor Localization Scenarios and Methodologies

Tian Yang, Adnane Cabani, Houcine Chafouk
2021 Sensors  
The key localization techniques like RSSI-based fingerprinting technique are presented using supervised machine learning methods, namely SVM (support vector machine), KNN (K nearest neighbors) and NN (  ...  These nonlinear methods are more suitable for dynamic localization models.  ...  The program is cofinanced by the Normandy Region and the European Union. Europe is committed in Normandy with the European Regional Development Fund (ERDF).  ... 
doi:10.3390/s21238086 pmid:34884090 fatcat:juacgglap5f5jaezn3w2lrur3u

A Framework for CSI-Based Indoor Localization with 1D Convolutional Neural Networks [article]

Liping Wang, Sudeep Pasricha
2022 arXiv   pre-print
Recently, considerable progress has been made in Channel State Information (CSI) based indoor localization with signal fingerprints.  ...  indoor localization works.  ...  Data Collection Strategy One major concern with indoor localization using fingerprinting is if the reference space covers enough fingerprint patterns in the area of interest and how to find these patterns  ... 
arXiv:2205.08068v1 fatcat:7fyib6rtpzdsdept7avkhwgipu

A Review of Hybrid Indoor Positioning Systems Employing WLAN Fingerprinting and Image Processing

Firdaus Firdaus, Noor Azurati Ahmad, Shamsul Sahibuddin
2020 International journal of electrical and computer engineering systems  
The studies on combined WLAN fingerprinting and image processing techniques are divided based on the methods used.  ...  Then, image processing and WLAN fingerprinting are used in combination to build IPS in the third part.  ...  IMAGE POSITIONING SUPPORTED BY WLAN FINGERPRINTING In this method, image processing is used to determine position while WLAN Fingerprinting is used to support the process and improve system performance  ... 
doi:10.32985/ijeces.10.2.2 fatcat:g4kw3gejcbfttgncnvj57gkt6i

Regional Double-Layer, High-Precision Indoor Positioning System Based on iBeacon Network

Xiaona Zhang, Shufang Zhang, Chao Wang, Shujing Sun, Wen-Tsao Pan
2022 Mathematical Problems in Engineering  
Based on iBeacon equipment, this paper proposes a method to optimize received signal strength indication indoor positioning algorithm by using the Gaussian filtering method so as to reduce the adverse  ...  In order to further improve the accuracy of indoor positioning algorithm, the stack automatic encoder in the deep neural network algorithm is introduced.  ...  Acknowledgments is work was supported by the National Natural Science Foundation of China (nos. 61231006, 62071080, and 61501078).  ... 
doi:10.1155/2022/8673083 fatcat:llnytwttovhotl4d6ekdyxlicq

A method of fingerprint indoor localization based on received signal strength difference by using compressive sensing

Xiao-min Yu, Hui-qiang Wang, Jin-qiu Wu
2020 EURASIP Journal on Wireless Communications and Networking  
Experiments show that the proposed RSSD-CS algorithm can achieve high localization accuracy in indoor localization, and the accuracy is enhanced by 20.5% and 15.6% compared to SSD and CS algorithm.  ...  With the development of network technology, WLAN-based indoor localization plays an increasingly important role.  ...  Availability of data and materials The datasets used and analyzed during the current study are available from the corresponding author on a reasonable request.  ... 
doi:10.1186/s13638-020-01683-8 fatcat:pofwhvm2snbknkmnqfqx2uzdii

Integrated WiFi/PDR/Smartphone Using an Adaptive System Noise Extended Kalman Filter Algorithm for Indoor Localization

Xin Li, Jian Wang, Chunyan Liu, Liwen Zhang, Zhengkui Li
2016 ISPRS International Journal of Geo-Information  
The fingerprint-based Wi-Fi indoor positioning method includes offline sampling and real-time matching and positioning.  ...  Wi-Fi fingerprint matching typically requires a quite high computational burden: To reduce the computational complexity of this step, the affinity propagation clustering algorithm is adopted to cluster  ...  Conclusions Clustering processing is performed on the fingerprint data of indoor positioning by the APC algorithm to reduce the traversal data volume in positioning and improve the positioning accuracy  ... 
doi:10.3390/ijgi5020008 fatcat:uolm4cijtngknktzw5mhog4goe

Machine Learning Based Indoor Localization Using Wi-Fi RSSI Fingerprints: An Overview

Navneet Singh, Sangho Choe, Rajiv Punmiya
2021 IEEE Access  
In recent years, many researchers have proposed a wide range of machine learning (ML)-based indoor localization approaches using Wi-Fi received signal strength indicator (RSSI) fingerprints.  ...  This survey attempts to provide a summarized investigation of MLbased Wi-Fi RSSI fingerprinting schemes, including data preprocessing, data augmentation, ML prediction models for indoor localization, and  ...  It can compensate for ever-changing indoor environment settings [155] and improve the scalability of indoor localization without increasing the overhead of fingerprints [156] .  ... 
doi:10.1109/access.2021.3111083 fatcat:7o6zb7kycrgftfpsukuwnsl24m

SmartFix: Indoor Locating Optimization Algorithm for Energy-Constrained Wearable Devices

Xiaoliang Wang, Ke Xu, Ziwei Li
2017 Wireless Communications and Mobile Computing  
Indoor localization technology based on Wi-Fi has long been a hot research topic in the past decade.  ...  In this paper, we present SmartFix, an optimization algorithm for indoor locating based on Wi-Fi RSS.  ...  Their closer binding relationship and longer usage time improve the applicability of indoor localization algorithm.  ... 
doi:10.1155/2017/8959356 fatcat:iqrktyprdfadrdace5uic4yvaq

A Survey of Magnetic-Field-Based Indoor Localization

Guanglie Ouyang, Karim Abed-Meraim
2022 Electronics  
We also summarize state-of-the-art magnetic field localization methods (e.g., magnetic landmarks, dynamic time warping, magnetic fingerprinting, filters, simultaneous localization and mapping, and neural  ...  This survey provides a comprehensive review of magnetic-field-based indoor localization methods. We first introduce characteristics of the magnetic field, its advantages, and its challenges.  ...  Section 8 introduces the taxonomy of indoor localization and gives a systematic review on the state-of-the-art indoor localization using magnetic landmarks, dynamic time warping, magnetic fingerprinting  ... 
doi:10.3390/electronics11060864 fatcat:fsamfelqhrejxc6w33swfbi3bm

Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons

Suining He, S.-H. Gary Chan
2016 IEEE Communications Surveys and Tutorials  
This survey overviews recent advances on two major areas of Wi-Fi fingerprint localization: advanced localization techniques and efficient system deployment.  ...  Regarding advanced techniques to localize users, we present how to make use of temporal or spatial signal patterns, user collaboration, and motion sensors.  ...  Basic Fingerprint Localization (Overview) Traditional indoor localization algorithms [51] include deterministic [2] and probabilistic methods [52] , [53] .  ... 
doi:10.1109/comst.2015.2464084 fatcat:vgqxvxzrl5ddte7xi4x4rnd5oa

Indoor localization system based on mobile access point model MAPM using RSS with UWB-OFDM

Youssef Ibnatta, Mohammed Khaldoun, Mohammed Sadik
2022 IEEE Access  
That may decrease the use of several static access points (SAP) indoors and increase the localization precision.  ...  Indoor tracking is one of the most attractive topics in communication and information technology. Indoor localization mechanisms can help people for navigating in complex environments.  ...  The reference point (RP) based methods such as KNN and K-means are frequently used for indoor localization using fingerprints (RSS).  ... 
doi:10.1109/access.2022.3168677 fatcat:um4v77ferfdpdk36npqa24gqhq

A Novel Passive Indoor Localization Method by Fusion CSI Amplitude and Phase Information

Xiaochao Dang, Xiong Si, Zhanjun Hao, Yaning Huang
2019 Sensors  
A fusion method is utilized to store the processed amplitude and phase information as a fingerprint database.  ...  To eliminate the signal interference existing in indoor environments, we present a passive human indoor localization method named FapFi, which fuses CSI amplitude and phase information to fully utilize  ...  X.S. contributed towards the algorithms, the analysis, and the simulations and wrote the paper.  ... 
doi:10.3390/s19040875 fatcat:xvxyzdcplng4vn4hsgdm2pipyi

A Survey on Fusion-based Indoor Positioning

Xiansheng Guo, Nirwan Ansari, Fangzi Hu, Yuan Shao, Raphael Nkrow, Lin Li
2019 IEEE Communications Surveys and Tutorials  
consists of three fusion characteristics: source, algorithm, and weight spaces.  ...  Demands for indoor positioning based services (IPS) in commercial and military fields have spurred many positioning systems and techniques.  ...  [82] presented a hybrid indoor localization method by fusing the UWB system with INS by using a strap-down algorithm.  ... 
doi:10.1109/comst.2019.2951036 fatcat:7hwlckqvenexvnumbdba22et4m
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