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AF-DCGAN: Amplitude Feature Deep Convolutional GAN for Fingerprint Construction in Indoor Localization Systems [article]

Qiyue Li, Heng Qu, Zhi Liu, Nana Zhou, Wei Sun, Stephan Sigg, Jie Li
2019 arXiv   pre-print
The extended fingerprint database both reduces the human effort involved in fingerprint database construction and the accuracy of an indoor localization system, as demonstrated in the experiments.  ...  In this paper, we collect Channel State Information (CSI) data at reference points by the method of device-free localization, then we convert collected CSI data into amplitude feature maps and extend the  ...  Based on the extended fingerprint database, the accuracy of the indoor localization system can be improved with reduced human effort. IV.  ... 
arXiv:1804.05347v3 fatcat:mqjqzxim6bcn5ayuanw5ux7gbm

Using Generative Adversarial Nets to Reduce Fingerprint Collection for Indoor Localization

Qiyue Li, Heng Qu, Kai Zhang, Wei Sun, Jie Li
2018 DEStech Transactions on Computer Science and Engineering  
Based on the extended fingerprint database, the accuracy of indoor localization systems can be improved with reduced human effort.  ...  In this paper, we convert channel state information (CSI) data into amplitude feature maps to construct initial fingerprint library and then extend the fingerprint database using the proposed improved  ...  efficiency and reduced human effort.  ... 
doi:10.12783/dtcse/wicom2018/26281 fatcat:tkzlbh6wuze2hcxxdzfjqsiwga

Enhancing the Performance of Indoor Device-Free Passive Localization

Wu Yang, Liangyi Gong, Dapeng Man, Jiguang Lv, Haibin Cai, Xiancun Zhou, Zheng Yang
2015 International Journal of Distributed Sensor Networks  
Device-free passive localization (DFPL) has been an emerging application with fast increasing development.  ...  Channel State Information-(CSI-) based DFPL is recently paid more attention to for fine-granularity and stability of CSI. However, lots of dead spots exist in the area of interest.  ...  It works with a low number of streams but needs substantial calibration efforts.  ... 
doi:10.1155/2015/256162 fatcat:fwtcdmu5qvd6diqmvwccnah7ka

Joint Activity Recognition and Indoor Localization [article]

Fei Wang, Jianwei Feng, Yinliang Zhao, Xiaobin Zhang, Shiyuan Zhang, Jinsong Han
2019 arXiv   pre-print
Recent years have witnessed the rapid development in the research topic of WiFi sensing that automatically senses human with commercial WiFi devices.  ...  More precisely, we develop a system running standard IEEE 802.11n WiFi protocol, and collect more than 1400 CSI fingerprints on 6 activities at 16 indoor locations.  ...  As for indoor localization, [31] - [34] collect CSI fingerprints corresponding to people locations, and train classifiers to localize people with collected CSI fingerprints.  ... 
arXiv:1904.04964v1 fatcat:lckjov4a3vhidptwt3jmefglxu

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.  ...  CSI fingerprinting to tackle this problem.  ...  A few other efforts have explored CSI-based localization with deep learning models.  ... 
arXiv:2205.08068v1 fatcat:7fyib6rtpzdsdept7avkhwgipu

CSI-based Fingerprinting for Indoor Localization: A Deep Learning Approach [article]

Xuyu Wang and Lingjun Gao and Shiwen Mao and Santosh Pandey
2016 arXiv   pre-print
Based on three hypotheses on CSI, the DeepFi system architecture includes an off-line training phase and an on-line localization phase.  ...  In this paper, we present a novel deep learning based indoor fingerprinting system using Channel State Information (CSI), which is termed DeepFi.  ...  Recently, considerable efforts are made on indoor localization systems based on new hardware, with low cost, and high accuracy.  ... 
arXiv:1603.07080v1 fatcat:3t5eeujddvfotacaa4asurzzru

Sensorless sensing with WiFi

Zimu Zhou, Chenshu Wu, Zheng Yang, Yunhao Liu
2015 Tsinghua Science and Technology  
It seeks breakthroughs from dedicated radar systems, and aims to balance between low cost and high accuracy, to meet the rising demand for pervasive environment perception in everyday life.  ...  With fusion of multiple links, CSI also facilitates fine-grained passive human localization [19] . Xi et al.  ...  Such multipath-induced RSS fluctuation may cause false match in fingerprint-based localization.  ... 
doi:10.1109/tst.2015.7040509 fatcat:gtiqpnqxdzdtfj6xw2hkpjpklu

Communicating Is Crowdsourcing: Wi-Fi Indoor Localization with CSI-Based Speed Estimation

Zhi-Ping Jiang, Wei Xi, Xiangyang Li, Shaojie Tang, Ji-Zhong Zhao, Jin-Song Han, Kun Zhao, Zhi Wang, Bo Xiao
2014 Journal of Computer Science and Technology  
In this work, we propose a passive crowdsourcing CSI-based indoor localization scheme, C 2 IL.  ...  Among them, Wi-Fi fingerprint-based approaches are the most popular solutions, and the core challenge of that is to lower the cost of fingerprint site-survey.  ...  The relatively good accuracy and simplicity of fingerprint based localization schemes has attracted massive of effort in the community.  ... 
doi:10.1007/s11390-014-1452-7 fatcat:ier6ui6xjfhsvaqplxjmbgjw6m


Ju Wang, Hongbo Jiang, Jie Xiong, Kyle Jamieson, Xiaojiang Chen, Dingyi Fang, Binbin Xie
2016 Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking - MobiCom '16  
Thus, CSIs on the "clean" subcarriers can be utilized for accurate localization. We design, implement and evaluate LiFS with extensive experiments in three different environments.  ...  Device-free localization of people and objects indoors not equipped with radios is playing a critical role in many emerging applications.  ...  A propagation-centric transmitter localization method for deriving the spatial structure of opportunistic wireless networks. In Proc.  ... 
doi:10.1145/2973750.2973776 dblp:conf/mobicom/WangJXJCFX16 fatcat:5frhwowwtrge5gy4mtyurqkrhu

A Survey on Wireless Indoor Localization from the Device Perspective

Jiang Xiao, Zimu Zhou, Youwen Yi, Lionel M. Ni
2016 ACM Computing Surveys  
novel human-centric device-free localization.  ...  Obviously, these ILBSs have been bounded up with social activities of humans, such that there is a pressing need to accurately and effectively gain the location information.  ...  In , a fine-grained CSI-based fingerprinting scheme is proposed for indoor localization.  ... 
doi:10.1145/2933232 fatcat:5zoyp6d6knelrmkj2tx6gd4utu

Pilot: Passive Device-Free Indoor Localization Using Channel State Information

Jiang Xiao, Kaishun Wu, Youwen Yi, Lu Wang, Lionel M. Ni
2013 2013 IEEE 33rd International Conference on Distributed Computing Systems  
Afterwards, a probabilistic algorithm is proposed to match the abnormal CSI to the fingerprint database to estimate the positions of potential existing entities.  ...  In this paper, we present Pilot, a Channel State Information (CSI)-based DfP indoor localization system in WLAN.  ...  In the perspective of future research, we intend to exploit other approaches other than fingerprinting for CSI-based device-free indoor localization to offload the calibration efforts, and improve accuracy  ... 
doi:10.1109/icdcs.2013.49 dblp:conf/icdcs/XiaoWYWN13 fatcat:qvgy6gtaqfewfhapdxryk7bliy

Semi-Supervised Learning with GANs for Device-Free Fingerprinting Indoor Localization [article]

Kevin M. Chen, Ronald Y. Chang
2020 arXiv   pre-print
Device-free wireless indoor localization is a key enabling technology for the Internet of Things (IoT). Fingerprint-based indoor localization techniques are a commonly used solution.  ...  This paper proposes a semi-supervised, generative adversarial network (GAN)-based device-free fingerprinting indoor localization system.  ...  In [12] , a manifold alignment approach to reduce the overall fingerprint calibration effort was developed.  ... 
arXiv:2008.07111v1 fatcat:zfsiipyuvnd5bh3e4i3om4llpa

Accurate Location Tracking From CSI-Based Passive Device-Free Probabilistic Fingerprinting

Shuyu Shi, Stephan Sigg, Lin Chen, Yusheng Ji
2018 IEEE Transactions on Vehicular Technology  
To enable precise positioning in the presence of heavy multipath effects in cluttered indoor scenarios, we experimentally validate the unpredictability of CSI measurements and suggest a probabilistic fingerprint-based  ...  We have evaluated the performance of our system in four indoor environments and compared it with state-of-art indoor localization schemes.  ...  In this work, we propose a probabilistic fingerprint-based DfP localization scheme to analyze human-induced variance of CSI measurements.  ... 
doi:10.1109/tvt.2018.2810307 fatcat:udix75qztncnhobouqzbe3uxni

Kullback–Leibler Divergence Based Probabilistic Approach for Device-Free Localization Using Channel State Information

Gao, Zhang, Xiao, Li
2019 Sensors  
Additionally, we propose a kind of combined fingerprints to simultaneously utilize the CSI amplitudes and phases, hoping to improve localization accuracy.  ...  information of CSI.  ...  For example, when we set α a and α p to be 0.01, we will obtain a localization error of 1.52433 m with the amplitude fingerprints, and 1.56442 m with the phase fingerprints.  ... 
doi:10.3390/s19214783 pmid:31684166 pmcid:PMC6864440 fatcat:hc6b5rooqfdaxf3vimcywmsbri

A novel CSI-based fingerprinting for localization with a single AP

Lei Zhang, Enjie Ding, Yanjun Hu, Yafeng Liu
2019 EURASIP Journal on Wireless Communications and Networking  
Performance in the laboratory, meeting room, and corridor is investigated, and our system is also compared with a RSSI-based and a CSI-based fingerprint localization system.  ...  Among them, fingerprint-based method gains considerable interest due to its high accuracy and low equipment requirement.  ...  Comparison with other localization system Our localization system is compared with two fingerprint-based systems, i.e., a RSSI-based system (RADAR) [33] and a CSI-based system (CSI-MIMO) [20] in the  ... 
doi:10.1186/s13638-019-1371-y fatcat:dpr6juis4fcphilvk6mrrhx7ru
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