Atheros CSI Tool

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Overview (Cite this tool)

Channel State Information (CSI)

CSI in thoery. Channel state information (CSI) represents the coefficent of a wireless channel. In Wi-Fi systems using OFDM modulation, the CSI of every sub-carrier is a complex number, i.e., csi = a+bj, as shown in following figure. The CSI of a packet transmitted with M transmitting antennas, N receiving antennas, 20MHz channel bandwitdh, is a complex matrix of size M×N×56. If the bandwith is 40MHz, then the size of CSI matrix becomes M×N×114.

CSI complex

CSI from Wi-Fi NIC. Wi-Fi NIC use several bits to reprensent the value of a and b. For example, Atheros Wi-Fi NIC uses 10 bits to give the value of a and another 10 bits to describe b. (We note that other Wi-Fi NIC may give the CSI with different resolution, e.g., Intel 5300 Wi-Fi NIC uses 8 bits to describe the value of a and b.) The CSI obtained from Atheros Wi-Fi NIC are thus complex numbers whose imag and real part fall into the range of [-512, 512]. The right figure plots the distribution of four CSI matrix (1×56) we measured using Atheros QCA9558. During the measurement, the channel is stable. Theoretically, the CSI should be the same in the complex plane. The measurements data, however, exhibit the opposite patterns. Let's then take a closer look at the amplitude and phase of the measured CSI.

CSI complex

The following figure (a) and (b) depicts the amplitude and amplitude in dB level of four CSI. We see that the amplitudes are similar in shape with each other but with offsets with each other. Figure c plots the phase of four CSI. Similarly, the phase has obvious offset across CSIs. The phase offsets results in the rotation of CSI in the complex plane, as shown in above figure.

CSI complex
CSI complex
CSI complex

Atheros CSI tool

Atheros-CSI-Tool is an open source 802.11n measurement and experimentation tool. It enables extraction of detailed PHY wireless communication information from the Atheros WiFi NICs, including the Channel State Information (CSI), the received packet payload, and other additional information (the time stamp, the RSSI of each antenna, the data rate, etc.). Atheros-CSI-Tool is built on top of ath9k, which is an open source Linux kernel driver supporting Atheros 802.11n PCI/PCI-E chips, so theoretically this tool is supposed to be able to support all types of Atheros 802.11n WiFi chipsets. We have tested it on Atheros AR9580, AR9590, AR9344 and QCA9558. Atheros-CSI-Tool is open source and all functionalities are implemented in software without any modification to the firmware. Therefore, you are able to extend the functionalities of Atheros-CSI-Tool with your own codes under the GPL license. You are welcome to get back to us with new functionalities contributed to the tool.

Atheros-CSI-Tool works on various Linux distribution, e.g., Ubuntu, OpenWRT, Linino, and so on. Different Linux distribution works on different hardware. Ubuntu works for personal computers like laptops or desktops. OpenWRT works for embeded devices such as Wi-Fi routers. Linino works for IoT devices, such as Arduino YUN. We provides the source code for Ubuntu version and OpenWRT version of Atheros CSI tool. The installation instructions can be found from our WiKi. We also provide the PDF version of the installation guide for Ubuntu version and OpenWRT version .

SWAN: Stitched Wi-Fi ANtennas

We build a general-purpose antenna extension solution with commodity Wi-Fi using our Atheros CSI tool. The proposed solution, SWAN, builds an array of stitched antennas extended from the radio chains of commodity Wi-Fi. SWAN has low hardware cost and provides easy-to-use interfaces embedded in the Linux kernel. Integrated with Atheros CSI tool, SWAN collects CSI from all the antennas in the array and group the CSI into a large matrix, which is further used for Wi-Fi sensing purposes such as estimating the AoA. The architecture of SWAN is shown in the following figure. We also build a prototype of SWAN using commodity devices, including Wi-Fi AP, Arduino and RF switches. More information about SWAN could be found from this page.



The tool has been used by over 1100 registered users from top research institutes, universities, technology companies including MIT, Stanford, Princeton, Cambridge, TUBerlin, Tsinghua, Huawei, Samsung, etc. Below are the list of published papers from our users based on this tool.
  1. [SSRN] Lin Wang, Zhongyu Shi, Nan Jing, and Zhuo Chang,
    Airlock: Unlock In-Air Via Hand Rotation Recognition, Elsevier, 2023
  2. [SBSCS] Jiadi Yu, Hao Kong, and Linghe Kong,
    Multi-User Authentication Using WiFi, Springer, 2023
  3. [SPAW] Ruiqi Kong, He Henry Chen
    Physical-Layer Authentication of Commodity Wi-Fi Devices via Micro-Signals on CSI Curves, IEEE, 2023
  4. [DSPA] Alexandr Astafiev; Olesya Astafieva; Ilya Kondrushin,
    Indoor Positioning by CSI Amplitude and Neural Networks, IEEE, 2023
  5. [ICINS] Alexandr Astafiev, Olesya Astafieva
    Indoor Localization of the Radio Devices Based on Channel State Information Using a Restricted Boltzmann Machine, IEEE, 2023
  6. [FTC] Ouyang Zhang
    Dual-Statistics Analysis with Motion Augmentation for Activity Recognition with COTS WiFi, Springer Link, 2022
  7. [EExPolytech] Artyom Sukhanov, Nguyen Canh Minh,
    Human Position Classification Based On Channel State Information In Wi-Fi Networks, IEEE, 2022
  8. [PIMRC] Alejandro Blanco Pizarro,
    Algorithms for robust indoor localization and sensing using off-the-shelf devices using off-the-shelf devices, uc3m, 2022
  9. [JIOT] Lang Deng, Jianfei Yang, Shenghai Yuan, Han Zou, Chris Xiaoxuan Lu, Lihua Xie,
    Gaitfi: Robust device-free human identification via wifi and vision multimodal learning, IEEE, 2022
  10. [WOCC] Huawei Hou, Suzhi Bi, Lili Zheng, Xiaohui Lin, Zhi Quan,
    Sample-Efficient Cross-Domain WiFi Indoor Crowd Counting via Few-shot Learning, IEEE, 2022
  11. [J.comcom] Julio C.H. Soto, Iandra Galdino, Egberto Caballero, Vinicius Ferreira, Débora Muchaluat-Saade, Célio Albuquerque,
    A survey on vital signs monitoring based on Wi-Fi CSI data, Elsevier, 2022
  12. [WOCC] Huawei Hou, Suzhi Bi, Lili Zheng, Xiaohui Lin, Zhi Quan,
    Sample-Efficient Cross-Domain WiFi Indoor Crowd Counting via Few-shot Learning, IEEE, 2022
  13. [TMC] Yanbo Zhang, Weiping Sun, Yidong Ren, Sung-ju Lee, and Mo Li,
    Channel Adapted Antenna Augmentation for Improved Wi-Fi Throughput, IEEE, 2022
  14. [JIOT] Jianfei Yang, Xinyan Chen, Han Zou, Dazhuo Wang, Lihua Xie,
    AutoFi: Towards Automatic WiFi Human Sensing via Geometric Self-Supervised Learning, IEEE, 2022
  15. [TMC] Francesca Meneghello, Domenico Garlisi, Nicolò Dal Fabbro, Ilenia Tinnirello, and Michele Rossi,
    SHARP: Environment and Person Independent Activity Recognition with Commodity IEEE 802.11 Access Points, IEEE, 2022
  16. [VTC2022-Spring] Ji Soo Kim, Wha Sook Jeon, Dong Geun Jeong,
    WiFi-Based Low-Complexity Gesture Recognition Using Categorization, IEEE, 2022
  17. [JIOT] J Yang, H Zou, L Xie,
    RobustSense: Defending Adversarial Attack for Secure Device-Free Human Activity Recognition, Arxiv, 2022
  18. [JIOT] Simon Tewes, Markus Heinrichs, Rainer Kronberger, Aydin Sezgin,
    IRS-enabled Breath Tracking with Colocated Commodity WiFi Transceivers, IEEE, 2022
  19. [IEEE SP] Paul Staat, Simon Mulzer, Stefan Roth, Veelasha Moonsamy, Markus Heinrichs, Rainer Kronberger, Aydin Sezgin, Christof Paar
    IRShield: A countermeasure against adversarial physical-layer wireless sensing, 43rd IEEE Symposium on Security and Privacy 2022
  20. [JC&S] Fangzhan Shi; Wenda Li; Amin Amiri; Shelly Vishwakarma; Chong Tang; Paul Brennan; Kevin Chetty
    Pi-NIC: Indoor Sensing Using Synchronized Off-The-Shelf Wireless Network Interface Cards and Raspberry Pis, IEEE, 2022
  21. [JSIGPRO] Mohammad Hadi Kefayati, Vahid Pourahmadi, Hassan Aghaeinia
    Multi-view WiFi imaging, Elsevier Signal Processing 2022
  22. [DSPA] Astafiev A.V, Zhiznyakov A. L , Zakharov A.A , Privezentsev D. G
    Algorithm for Preliminary Processing Channel State Information of the WIFI Communication Channel for Building Indoor Positioning Systems, 24th International Conference on Digital Signal Processing and its Applications (DSPA) 2022
  23. [JHCC] Peng Jiang, Hongyi Wu, Chunsheng Xin
    A Channel State Information based Virtual MAC Spoofing Detector, Elsevier High Confidence Computing 2022
  24. [MobiSys] Guoxuan Chi, Zheng Yang, Jingao Xu, Chenshu Wu, Jialin Zhang, Jianzhe Liang, Yunhao Liu
    Wi-drone: wi-fi-based 6-DoF tracking for indoor drone flight control, the 20th Annual International Conference on Mobile Systems, Applications and Services 2022
  25. [IJCCE] Pengming Hu, Weidong Yang, Xuyu Wang, and Shiwen Mao
    Contact-free Wheat Mildew Detection with Commodity WiFi, International Journal of Cognitive Computing in Engineering 2022
  26. [MobiCom] Zhe Chen, Tianyue Zheng, Jun Luo
    Octopus: a practical and versatile wideband MIMO sensing platform, ACM, 2021
  27. [ICTC] Changsung Lim and Jeongyeup Paek
    Cost Reduction in Fingerprint-Based Indoor Localization using Generative Adversarial Network, IEEE, 2021
  28. [JPROCS] Andrii Zhuravchaka, Oleg Kapshiib, Evangelos Pournarasc
    Human Activity Recognition based on Wi-Fi CSI Data-A Deep Neural Network Approach, Elsevier Procedia Computer Science, 2021
  29. [MobiHoc] Yanjun Pan, Ziqi Xu, Ming Li, and Loukas Lazos
    Man-in-the-middle attack resistant secret key generation via channel randomization, MobiHoc 2021
  30. [MobiHoc] Hao Kong, Li Lu, Jiadi Yu, Yingying Chen, Xiangyu Xu, Feilong Tang, and Yi-Chao Chen
    MultiAuth: Enable Multi-User Authentication with Single Commodity WiFi Device, MobiHoc 2021
  31. [JIOT] Guohao Lan, Mohammadreza F. Imani, Zida Liu, José Manjarrés, Wenjun Hu, Andrew S. Lan, David R. Smith, and Maria Gorlatova
    MetaSense: Boosting RF Sensing Accuracy Using Dynamic Metasurface Antenna, IEEE Internet of Things Journal 2021
  32. [CCWC] Guangxin Wang, Arash Abbasi, and Huaping Liu
    WiFi-based Environment Adaptive Positioning with Transferable Fingerprint Features, IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC) 2021
  33. [CCWC] Guangxin Wang, Arash Abbasi, and Huaping Liu
    Dynamic Phase Calibration Method for CSI-based Indoor Positioning, IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC) 2021
  34. [MASS] Keegan Kresge, Sophia Martino, Tianming Zhao, and Yan Wang
    WiFi-based Contactless Gesture Recognition Using Lightweight CNN, IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems (MASS) 2021
  35. [IET] Jing Li, and Hao Wu
    Localisation algorithm for security access control in railway communications, IET Intelligent Transport Systems 2021
  36. [EExPolytech] Maksim Lopatin, Stanislav Fyodorov, and Dong Ge
    Object Classification Based on Channel State Information Using Feature Spaces, International Conference on Electrical Engineering and Photonics (EExPolytech) 2021
  37. [PIMRC] Paul Staat, Harald Elders-Boll, Markus Heinrichs, Rainer Kronberger, Christian Zenger, and Christof Paar
    Intelligent reflecting surface-assisted wireless key generation for low-entropy environments, IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications 2021
  38. [ASC] Wei Cui, Bing Li, Le Zhang, and Zhenghua Chen
    Device-free single-user activity recognition using diversified deep ensemble learning, Applied Soft Computing 2021
  39. [arXiv] Xie Zhang, Chengpei Tang, Yasong An, and Kang Yin
    WiFi-based Multi-task Sensing, arXiv 2021
  40. [JIOT] Jin Zhang, Fuxiang Wu, Bo Wei, Qieshi Zhang, Hui Huang, Syed W. Shah, Jun Cheng,
    Data augmentation and dense-LSTM for human activity recognition using WiFi signal, IEEE, 2020
  41. [JIOT] Ronghui Zhang; Xiaojun Jing; Sheng Wu; Chunxiao Jiang; Junsheng Mu; F. Richard Yu,
    Device-free wireless sensing for human detection: the deep learning perspective, IEEE, 2020
  42. [JSON] Xuyu Wang, Chao Yang, and Shiwen Mao
    Resilient respiration rate monitoring with realtime bimodal CSI data,IEEE Sensors Journal 2020
  43. [CCF TPCI] Neena Damodaran, Elis Haruni, Muyassar Kokhkharova and Jörg Schäfer
    Device free human activity and fall recognition using WiFi channel state information (CSI),Springer 2020
  44. [BuildSys] Soltanaghaei, Elahe and Sharma, Rahul Anand and Wang, Zehao and Chittilappilly, Adarsh and Luong, Anh and Giler, Eric and Hall, Katie and Elias, Steve and Rowe, Anthony
    Robust and Practical WiFi Human Sensing Using On-device Learning with a Domain Adaptive Model, BuildSys 2020
  45. [Sensors] Wenxu Wang, Damián Marelli, Minyue Fu
    Fingerprinting-Based Indoor Localization Using Interpolated Preprocessed CSI Phases and Bayesian Tracking, Sensors 2020
  46. [IJSEN] Mohammad Hadi Kefayati , Vahid Pourahmadi , and Hassan Aghaeinia
    Wi2Vi: Generating Video Frames From WiFi CSI Samples, IEEE Sensors Journal 2020
  47. [MSN] Si Huang, Dong Wang, Run Zhao and Qian Zhang
    Wiga: A WiFi-Based Contactless Activity Sequence Recognition System Based on Deep Learning, MSN 2020
  48. [JIoT] L. Wang, H. An, H. Zhu and W. Liu
    MobiKey: Mobility-Based Secret Key Generation in Smart Home,IEEE Internet of Things Journal 2020
  49. [arXiv] Zhiping Jiang, Tom H. Luan, Han Hao, Jing Wang, Xincheng Ren, Kun Zhao, Wei Xi, Yueshen Xu, Rui Li
    Eliminating the Barriers: Demystify Wi-Fi Baseband Design And Introduce PicoScenes Wi-Fi Sensing Platform,arXiv 2020
  50. [arXiv] Paul Staat, Harald Elders-Boll, Markus Heinrichs, Rainer Kronberger, Christian Zenger, Christof Paar
    Intelligent Reflecting Surface-Assisted Wireless Key Generation for Low-Entropy Environments, arXiv 2020
  51. [WiMob] Israel Elujide, Yonghe Liu
    An Entropy-Based WLAN Channel Allocation using Channel State Information, WiMob 2020
  52. [arXiv] Yang Liu, Tiexing Wang, Yuexin Jiang, Biao Chen
    Harvesting Ambient RF for Presence Detection Through Deep Learning , arXiv 2020
  53. [arXiv] Jianfei Yang, Han Zou, Yuxun Zhou, Lihua Xie
    Towards Stable and Comprehensive Domain Alignment: Max-Margin Domain-Adversarial Training, arXiv 2020
  54. [JSYST] Shuai Han, Yi Li, Weixiao Meng, Cheng Li ,Tianqi Liu, and Yanbo Zhang
    Indoor localization with a single Wi-Fi access point based on OFDM-MIMO, IEEE System Journal, 2019
  55. [SIGCOMM] Chenshu Wu, Feng Zhang, Yusen Fan, K. J. Ray Liu
    RF-based inertial measurement, ACM, 2019
  56. [JIOT] Jianfei Yang, Han Zou, Yuxun Zhou, and Lihua Xie
    Learning gestures from wifi: A siamese recurrent convolutional architecture, IEEE Internet of Things Journal, 2019
  57. [Access] Zhengjie Wang, Kangkang Jiang, Yushan Hou, Wenwen Dou, Chengming Zhang, Zehua Huang, and Yinjing Guo
    A survey on human behavior recognition using channel state information, IEEE Access, 2019
  58. [GLOBECOM] Pengming Hu, Weidong Yang, Xuyu Wang, and Shiwen Mao
    MiFi: Device-free Wheat Mildew Detection Using Off-the-shelf WiFi Devices, GLOBECOM 2019
  59. [MobiCom] Yaxiong Xie, Jie Xiong, Mo Li, and Kyle Jamieson
    mD-Track: Leveraging Multi-Dimensionality for Passive Indoor Wi-Fi Tracking, MobiCom 2019
  60. [MobiCom] Jian Ding and Ranveer Chandra
    Towards Low Cost Soil Sensing Using Wi-Fi, MobiCom 2019
  61. [INFOCOM] Shuyu Shi, Yaxiong Xie, Mo Li, Alex X. Liu and Jun Zhao
    Synthesizing Wider WiFi Bandwidth for Respiration Rate Monitoring in Dynamic Environments, INFOCOM 2019
  62. [TMC] Yi-Jie Lin, Po-Hsuan Tseng, Yao-Chia Chan , Jie He, and Guan-Sian Wu
    A Super-Resolution-Assisted Fingerprinting Method Based on Channel Impulse Response Measurement for Indoor Positioning,TMC 2019
  63. [IEEE TWC] Navid Tadayon, Muhammed Tahsin Rahman, Shuo Han, Shahrokh Valaee, Wei Yu
    Decimeter Ranging With Channel State Information, IEEE TWC 2019
  64. [VTC] Simon Tewes, Alaa Alameer Ahmad, Jaber Kakar, Udaya Miriya Thanthrige, Stefan Roth, Aydin Sezgin
    Ensemble-based Learning in Indoor Localization: A Hybrid Approach, VTC, 2019
  65. [WCNC] Lingchao Guo, Xiangming Wen, Zhaoming Lu, Xinbin Shen, Zijun Ha
    WiRoI : Spatial Region of Interest Human Sensing with Commodity WiFi, WCNC , 2019
  66. [Electronics] Yong Lu,Shaohe Lv and Xiaodong Wang
    Towards Location Independent Gesture Recognition with Commodity WiFi Devices Electronics, 2019
  67. [EWSN] Zhiping Jiang, Xu Wang, Chen He, Rui Li
    Demo: Enabling UWB Sensing Array on COTS Wi-Fi Platform, EWSN, 2019
  68. [CVPR workshops] Han Zou, Jianfei Yang, Hari Prasanna Das, Huihan Liu, Yuxun Zhou, Costas J. Spanos
    WiFi and Vision Multimodal Learning for Accurate and Robust Device-Free Human Activity RecognitionCVPR workshops, 2019
  69. [Master Thesis] Abhinav Kumar
    Leveraging Channel State Information From Cots WiFi Router to Detect Water Flow Pattern Master Thesis, 2019
  70. [Journal on Communications] Xiaochao DANG, Yaning HUANG, Zhanjun HAO,Xiong SI
    Passive indoor human daily behavior detection method based on channel state information Journal on Communications, 2019
  71. [SAGE journal] Xiaochao Dang, Jiaju Ren, Zhanjun Hao, Yili Hei, Xuhao Tang and Yan Yan
    A novel indoor localization method using passive phase difference fingerprinting based on channel state information SAGE journal, 2019
  72. [JYST] Dongheng Zhang, Yang Hu, Yan Chen, and Bing Zeng
    Calibrating Phase Offsets for Commodity WiFi, IEEE Systems Journal 2019
  73. [Sensors] Jijun Zhao, Lishuang Liu, Zhongcheng Wei, Chunhua Zhang, Wei Wang and Yongjian Fan
    R-DEHM: CSI-Based Robust Duration Estimation of Human Motion with WiFi, Sensors 2019
  74. [Mobile Networks and Applications] Bingxian Lu, Lei Wang, Jialin Liu, Wei Zhou, Linlin Guo, Myeong-Hun Jeong, Shaowen Wang3, Guangjie Han
    LaSa: Location Aware Wireless Security Access Control for IoT Systems, Mobile Networks and Applications 2019
  75. [Sensors] Xiaochao Dang, Xiong Si, Zhanjun Hao, and Yaning Huang
    A Novel Passive Indoor Localization Method by Fusion CSI Amplitude and Phase Information, Sensors 2019
  76. [Chinese Journal on Internet of Things] Xiaochao DANG, Xiong SI,Zhanjun HAO,Yaning HUANG,Yili HEI
    Indoor localization method based on CSI in complex environment, Chinese Journal on Internet of Things 2019
  77. [ICC] Qi Shi, Yangyu Liu, Shunqing Zhang, Shugong Xu, Shan Cao, Vincent Lau
    Channel Estimation for WiFi Prototype Systems with Super-Resolution Image Recovery, ICC 2019
  78. [SECON] Hua Xue, Jiadi Yu, Yanmin Zhu, Li Lu, Shiyou Qian, Minglu Li
    WiZoom: Accurate Multipath Profiling using Commodity WiFi Devices with Limited Bandwidth, SECON 2019
  79. [JCC] Haihan Li, Xiangsheng Zeng, Yunzhou Li, Shidong Zhou, and Jing Wang
    Convolutional neural networks based indoor Wi-Fi localization with a novel kind of CSI images, China Communications 2019
  80. [JSYST] Shuai Han, Yi Li, Weixiao Meng, Cheng Li, Tianqi Liu, and Yanbo Zhang,
    A survey on human behavior recognition using channel state information, IEEE, 2018
  81. [IPIN] Brieuc Berruet, Oumaya Baala, Alexandre Caminada, Valery Guillet
    DelFin: A deep learning based CSI fingerprinting indoor localization in IoT context, 2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN)
  82. [IMWUT] Wei Gong and Jiangchuan Liu
    SiFi: Pushing the limit of time-based WiFi localization using a single commodity access point, ACM Journal, 2018
  83. [CWSN] Xiaochao Dang, Jiaju Ren, Zhanjun Hao, Yan Yan, Yili Hei
    The Improvement of Indoor Localization Precision Through PCA-Based Channel Combination Method, 2018
  84. [MobiCom] Xie, Yaxiong and Zhang, Yanbo and Liando, Jansen Christian and Li, Mo,
    SWAN: Stitched Wi-Fi ANtennas, MobiCom, 2018
  85. [AAAI] Han Zou, Yuxun Zhou, Jianfei Yang, Weixi Gu, Lihua Xie, Costas Spanos,
    WiFi-based Human Identification via Convex Tensor Shapelet Learning, AAAI, 2018
  86. [ICMLA] Han Zou, Jianfei Yang, Yuxun Zhou, and Costas J. Spanos
    Joint Adversarial Domain Adaptation for Resilient WiFi-enabled Device-free Gesture Recognition, ICMLA 2018
  87. [arXiv] Peter Hillyard, Anh Luong, Alemayehu Abrar, Neal Patwari, Krishna Sundar, Robert Farney, Jason Burch, Christina Porucznik, Sarah Pollard
    Comparing Respiratory Monitoring Performance of Commercial Wireless Devices , arXiv 2018
  88. [CCECE ]Bruno Soares da Silva, Gustavo Teodoro Laureano, Abdallah S. Abdallah, Kleber Vieira Cardoso
    WiDMove: Sensing Movement Direction using IEEE 802.11n Interfaces, CCECE 2018
  89. [ICCA] H. Zou, Y. Zhou, J. Yang, H. Jiang, L. Xie and C. J. Spanos,
    WiFi-enabled Device-free Gesture Recognition for Smart Home Automation, IEEE ICCA, 2018
  90. [ICC] H. Zou, Y. Zhou, J. Yang, H. Jiang, L. Xie and C. J. Spanos,
    DeepSense: Device-Free Human Activity Recognition via Autoencoder Long-Term Recurrent Convolutional Network, IEEE ICC, 2018
  91. [ICCCN] H. Zou, J. Yang, Y. Zhou, L. Xie and C. J. Spanos,
    Robust WiFi-Enabled Device-Free Gesture Recognition via Unsupervised Adversarial Domain Adaptation, 2018 27th International Conference on Computer Communication and Networks (ICCCN)
  92. [Energy and Buildings] Zou, Han, Yuxun Zhou, Jianfei Yang, and Costas J. Spanos,
    Towards occupant activity driven smart buildings via WiFi-enabled IoT devices and deep learning, Energy and Buildings, 2018
  93. [Energy and Buildings] Zou, Han, Yuxun Zhou, Jianfei Yang, and Costas J. Spanos,
    Device-Free Occupancy Detection and Crowd Counting in Smart Buildings with WiFi-enabled IoT., Energy and Buildings, 2018
  94. [ICNC] R. Cwalinski and H. Koenig,
    Identifying Malicious Traffic in Software-Defined Wireless Local Area Networks., IEEE ICNC, 2018
  95. [WCNC] Jianfei Yang, Han Zou, Hao Jiang, and Lihua Xie,
    Fine-grained adaptive location-independent activity recognition using commodity WiFi, IEEE WCNC, 2018
  96. [JIOT] Jianfei Yang, Han Zou, Hao Jiang, and Lihua Xie,
    Device-free Occupant Activity Sensing using WiFi-enabled IoT Devices for Smart Homes, IEEE Internet of Things Journal, 2018
  97. [MobiCom] Chan, Justin and Wang, Anran and Iyer, Vikram and Gollakota, Shyamnath,
    Surface MIMO: Using Conductive Surfaces For MIMO Between Small Devices, MobiCom, 2018
  98. [MobiCom] H. Peter, A. Luong, A. Abrar, N. Patwari, K. Sundar, R. Farney, J. Burch, C. Porucznik, and S. Pollard,
    Experience: Cross-Technology Radio Respiratory Monitoring Performance Study, MobiCom, 2018
  99. [ICCCN] S. Tan, L. Zhang and J. Yang,
    Sensing Fruit Ripeness Using Wireless Signals,, ICCCN, 2018
  100. [ Mobile Networks and Applications] B. Lu, L. Wang, J. Liu, W. Zhou, L. Guo, M. Jeong, S. Wang, and G. Han,
    LaSa: Location Aware Wireless Security Access Control for IoT Systems,, Mobile Networks and Applications, 2018
  101. [EURASIP] Dang, Xiaochao, Yaning Huang, Zhanjun Hao, and Xiong Si,
    PCA-Kalman: device-free indoor human behavior detection with commodity Wi-Fi,, EURASIP Journal on Wireless Communications and Networking, 2018
  102. [ICNC] G. Wu and P. Tseng,
    A Deep Neural Network-Based Indoor Positioning Method using Channel State Information,, IEEE ICNC, 2018
  103. [CCECE] B. Soaresda Silva, G. TeodoroLaureano, A. S. Abdallah and K. VieiraCardoso,
    WiDMove: Sensing Movement Direction Using IEEE 802.11n Interfaces,, IEEE CCECE, 2018
  104. [TMC] H. Zhu, Y. Zhuo, Q. Liu and S. Chang,
    π-Splicer: Perceiving Accurate CSI Phases with Commodity WiFi Devices, IEEE Trans. on Mobile Computing, 2018
  105. [IJWIN] Duan, Shihong, Tianqing Yu, and Jie He,
    WiDriver: Driver Activity Recognition System Based on WiFi CSI, International Journal of Wireless Information Networks, 2018
  106. [ICCCN] Weidong Yang, Xuyu Wang, Shui Cao, Hui Wang, and Shiwen Mao,
    Multi-class wheat moisture detection with 5GHz Wi-Fi: A deep LSTM approach, IEEE, 2018
  107. [SIGCOMM] Zhenyu Song, Longfei Shangguan, Kyle Jamieson,
    Wi-Fi Goes to Town: Rapid Picocell Switching for Wireless Transit Networks, ACM SIGCOMM, 2017
  108. [ICMLA] H. Zou, Y. Zhou, J. Yang, W. Gu, L. Xie and C. Spanos,
    Multiple Kernel Representation Learning for WiFi-Based Human Activity Recognition, IEEE ICMLA, 2017
  109. [GLOBECOM] Zou, Han, Yuxun Zhou, Jianfei Yang, Weixi Gu, Lihua Xie, and Costas Spanos,
    Freecount: Device-free crowd counting with commodity WiFi., IEEE GLOBECOM 2017
  110. [MobiCom] Han Zou, Yuxun Zhou, Jianfei Yang, Weixi Gu, Lihua Xie, and Costas Spanos,
    Poster: WiFi-based Device-Free Human Activity Recognition via Automatic Representation Learning, ACM MobiCom, 2017
  111. [SBRC] da Silva, B. S., Laureano, G. T., & Cardoso, K. V.,
    WiDMove-um sensor de movimento direcional baseado em perturbações do sinal eletromagnético de interfaces 802.11. SBRC (Vol. 36).
  112. [SECON] Han Zou, Yuxun Zhou, Jianfei Yang, Weixi Gu, Lihua Xie and Costas Spanos,
    FreeDetector: Device-Free Occupancy Detection with Commodity WiFi, IEEE SECON Workshops, 2017
  113. [GLOBECOM] A. Mukherjee, A. W. Garvin, S. E. Sanchez and Z. Zhang,
    Experimental Evaluation of Time Bounded Anti-Spoofing (TBAS) in MIMO Systems, IEEE GLOBECOM, 2017
  114. [GLOBECOM] A. Mukherjee and Z. Zhang,
    Fast Compression of OFDM Channel State Information with Constant Frequency Sinusoidal Approximation, IEEE GLOBECOM, 2017
  115. [WCSP] Jinsong Li, Yunzhou Li, and Xinsheng Ji,
    A novel method of Wi-Fi indoor localization based on channel state information, IEEE WCSP, 2017
  116. [arXiv] Jeong-Sik Choi, Woong-Hee Lee, Jae-Hyun Lee, Jong-Ho Lee and Seong-Cheol Kim,
    Deep Learning Based NLOS Identification with Commodity WLAN Devices, arXiv, 2017
  117. [INFOCOM] Yiwei Zhuo, Hongzi Zhu, Hua Xue, Shan Chang,
    Perceiving accurate CSI phases with commodity WiFi devices, IEEE INFOCOM, 2017
  118. [INFOCOM] Yaxiong Xie, Zhenjiang Li, Mo Li, Kyle Jamieson,
    Augmenting Wide-band 802.11 Transmissions via Unequal Packet Bit Protection, IEEE INFOCOM, 2016
  119. [ICPADS] Yiwei Zhuo, Hongzi Zhu, Hua Xue,
    Identifying a New Non-Linear CSI Phase Measurement Error with Commodity WiFi Devices, IEEE ICPADS, 2016
  120. [MobiCom] Yaxiong Xie, Zhenjiang Li, Mo Li,
    Precise Power Delay Profiling with Commodity WiFi, ACM MobiCom, 2015
  121. [MobiCom] Zhenjiang Li, Yaxiong Xie, Mo Li, Kyle Jamieson,
    Recitation: Rehearsing Wireless Packet Reception in Software, ACM MobiCom, 2015


Maintainer: Yaxiong Xie       Author: Mo Li, Yaxiong Xie       Collaborators: Zhenjiang Li, Kyle Jamieson