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. [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
  2. [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, 2nd IEEE International Symposium on Joint Communications & Sensing (JC&S) 2022
  3. [Arxiv] Simon Tewes, Markus Heinrichs, Rainer Kronberger, Aydin Sezgin
    IRS-enabled Breath Tracking with Colocated Commodity WiFi Transceivers, Arxiv 2022
  4. [JSIGPRO] Mohammad Hadi Kefayati, Vahid Pourahmadi, Hassan Aghaeinia
    Multi-view WiFi imaging, Elsevier Signal Processing 2022
  5. [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
  6. [Arxiv] J Yang, H Zou, L Xie
    RobustSense: Defending Adversarial Attack for Secure Device-Free Human Activity Recognition, Arxiv 2022
  7. [JHCC] Peng Jiang, Hongyi Wu, Chunsheng Xin
    A Channel State Information based Virtual MAC Spoofing Detector, Elsevier High Confidence Computing 2022
  8. [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
  9. [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
  10. [MobiCom] Zhe Chen, Tianyue Zheng, Jun Luo
    Octopus: a practical and versatile wideband MIMO sensing platform, MobiCom'21: Proceedings of the 27th Annual International Conference on Mobile Computing and Networking
  11. [ICTC] Changsung Lim and Jeongyeup Paek
    Cost Reduction in Fingerprint-Based Indoor Localization using Generative Adversarial Network, International Conference on Information and Communication Technology Convergence (ICTC) 2021
  12. [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
  13. [JIOT] Ronghui Zhang, Xiaojun Jing, Sheng Wu, Chunxiao Jiang, Junsheng Mu, and F. Richard Yu
    Device-Free Wireless Sensing for Human Detection: The Deep Learning Perspective, IEEE Internet of Things Journal, 2021
  14. [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 Internet of Things Journal, 2021
  15. [MobiHoc] Yanjun Pan, Ziqi Xu, Ming Li, and Loukas Lazos
    Man-in-the-middle attack resistant secret key generation via channel randomization, MobiHoc 2021
  16. [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
  17. [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
  18. [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
  19. [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
  20. [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
  21. [IET] Jing Li, and Hao Wu
    Localisation algorithm for security access control in railway communications, IET Intelligent Transport Systems 2021
  22. [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
  23. [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
  24. [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
  25. [arXiv] Xie Zhang, Chengpei Tang, Yasong An, and Kang Yin
    WiFi-based Multi-task Sensing, arXiv 2021
  26. [JSON] Xuyu Wang, Chao Yang, and Shiwen Mao
    Resilient respiration rate monitoring with realtime bimodal CSI data,IEEE Sensors Journal 2020
  27. [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
  28. [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
  29. [Sensors] Wenxu Wang, Damián Marelli, Minyue Fu
    Fingerprinting-Based Indoor Localization Using Interpolated Preprocessed CSI Phases and Bayesian Tracking, Sensors 2020
  30. [IJSEN] Mohammad Hadi Kefayati , Vahid Pourahmadi , and Hassan Aghaeinia
    Wi2Vi: Generating Video Frames From WiFi CSI Samples, IEEE Sensors Journal 2020
  31. [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
  32. [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
  33. [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
  34. [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
  35. [WiMob] Israel Elujide, Yonghe Liu
    An Entropy-Based WLAN Channel Allocation using Channel State Information, WiMob 2020
  36. [Arxiv] Yang Liu, Tiexing Wang, Yuexin Jiang, Biao Chen
    Harvesting Ambient RF for Presence Detection Through Deep Learning , Arxiv 2020
  37. [Arxiv] Jianfei Yang, Han Zou, Yuxun Zhou, Lihua Xie
    Towards Stable and Comprehensive Domain Alignment: Max-Margin Domain-Adversarial Training, Arxiv 2020
  38. [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
  39. [SIGCOMM] Chenshu Wu, Feng Zhang, Yusen Fan, K. J. Ray Liu
    RF-based inertial measurement, ACM, 2019
  40. [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
  41. [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
  42. [GLOBECOM] Pengming Hu, Weidong Yang, Xuyu Wang, and Shiwen Mao
    MiFi: Device-free Wheat Mildew Detection Using Off-the-shelf WiFi Devices, GLOBECOM 2019
  43. [MobiCom] Yaxiong Xie, Jie Xiong, Mo Li, and Kyle Jamieson
    mD-Track: Leveraging Multi-Dimensionality for Passive Indoor Wi-Fi Tracking, MobiCom 2019
  44. [MobiCom] Jian Ding and Ranveer Chandra
    Towards Low Cost Soil Sensing Using Wi-Fi, MobiCom 2019
  45. [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
  46. [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
  47. [IEEE TWC] Navid Tadayon, Muhammed Tahsin Rahman, Shuo Han, Shahrokh Valaee, Wei Yu
    Decimeter Ranging With Channel State Information, IEEE TWC 2019
  48. [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
  49. [WCNC] Lingchao Guo, Xiangming Wen, Zhaoming Lu, Xinbin Shen, Zijun Ha
    WiRoI : Spatial Region of Interest Human Sensing with Commodity WiFi, WCNC , 2019
  50. [Electronics] Yong Lu,Shaohe Lv and Xiaodong Wang
    Towards Location Independent Gesture Recognition with Commodity WiFi Devices Electronics, 2019
  51. [EWSN] Zhiping Jiang, Xu Wang, Chen He, Rui Li
    Demo: Enabling UWB Sensing Array on COTS Wi-Fi Platform, EWSN, 2019
  52. [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
  53. [Master Thesis] Abhinav Kumar
    Leveraging Channel State Information From Cots WiFi Router to Detect Water Flow Pattern Master Thesis, 2019
  54. [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
  55. [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
  56. [JYST] Dongheng Zhang, Yang Hu, Yan Chen, and Bing Zeng
    Calibrating Phase Offsets for Commodity WiFi, IEEE Systems Journal 2019
  57. [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
  58. [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
  59. [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
  60. [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
  61. [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
  62. [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
  63. [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
  64. [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, 2018 27th International Conference on Computer Communication and Networks (ICCCN)
  65. [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)
  66. [IMWUT] Wei Gong and Jiangchuan Liu
    SiFi: Pushing the limit of time-based WiFi localization using a single commodity access point, ACM Journal, 2018
  67. [CWSN] Xiaochao Dang, Jiaju Ren, Zhanjun Hao, Yan Yan, Yili Hei
    The Improvement of Indoor Localization Precision Through PCA-Based Channel Combination Method, 2018
  68. [MobiCom] Xie, Yaxiong and Zhang, Yanbo and Liando, Jansen Christian and Li, Mo,
    SWAN: Stitched Wi-Fi ANtennas, MobiCom, 2018
  69. [AAAI] Han Zou, Yuxun Zhou, Jianfei Yang, Weixi Gu, Lihua Xie, Costas Spanos,
    WiFi-based Human Identification via Convex Tensor Shapelet Learning, AAAI, 2018
  70. [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
  71. [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
  72. [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
  73. [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
  74. [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
  75. [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)
  76. [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
  77. [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
  78. [ICNC] R. Cwalinski and H. Koenig,
    Identifying Malicious Traffic in Software-Defined Wireless Local Area Networks., IEEE ICNC, 2018
  79. [WCNC] Jianfei Yang, Han Zou, Hao Jiang, and Lihua Xie,
    Fine-grained adaptive location-independent activity recognition using commodity WiFi, IEEE WCNC, 2018
  80. [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
  81. [MobiCom] Chan, Justin and Wang, Anran and Iyer, Vikram and Gollakota, Shyamnath,
    Surface MIMO: Using Conductive Surfaces For MIMO Between Small Devices, MobiCom, 2018
  82. [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
  83. [ICCCN] S. Tan, L. Zhang and J. Yang,
    Sensing Fruit Ripeness Using Wireless Signals,, ICCCN, 2018
  84. [ 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
  85. [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
  86. [ICNC] G. Wu and P. Tseng,
    A Deep Neural Network-Based Indoor Positioning Method using Channel State Information,, IEEE ICNC, 2018
  87. [CCECE] B. Soaresda Silva, G. TeodoroLaureano, A. S. Abdallah and K. VieiraCardoso,
    WiDMove: Sensing Movement Direction Using IEEE 802.11n Interfaces,, IEEE CCECE, 2018
  88. [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
  89. [IJWIN] Duan, Shihong, Tianqing Yu, and Jie He,
    WiDriver: Driver Activity Recognition System Based on WiFi CSI, International Journal of Wireless Information Networks, 2018
  90. [SIGCOMM] Zhenyu Song, Longfei Shangguan, Kyle Jamieson,
    Wi-Fi Goes to Town: Rapid Picocell Switching for Wireless Transit Networks, ACM SIGCOMM, 2017
  91. [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
  92. [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
  93. [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
  94. [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).
  95. [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
  96. [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
  97. [GLOBECOM] A. Mukherjee and Z. Zhang,
    Fast Compression of OFDM Channel State Information with Constant Frequency Sinusoidal Approximation, IEEE GLOBECOM, 2017
  98. [WCSP] Jinsong Li, Yunzhou Li, and Xinsheng Ji,
    A novel method of Wi-Fi indoor localization based on channel state information, IEEE WCSP, 2017
  99. [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
  100. [INFOCOM] Yiwei Zhuo, Hongzi Zhu, Hua Xue, Shan Chang,
    Perceiving accurate CSI phases with commodity WiFi devices, IEEE INFOCOM, 2017
  101. [INFOCOM] Yaxiong Xie, Zhenjiang Li, Mo Li, Kyle Jamieson,
    Augmenting Wide-band 802.11 Transmissions via Unequal Packet Bit Protection, IEEE INFOCOM, 2016
  102. [ICPADS] Yiwei Zhuo, Hongzi Zhu, Hua Xue,
    Identifying a New Non-Linear CSI Phase Measurement Error with Commodity WiFi Devices, IEEE ICPADS, 2016
  103. [MobiCom] Yaxiong Xie, Zhenjiang Li, Mo Li,
    Precise Power Delay Profiling with Commodity WiFi, ACM MobiCom, 2015
  104. [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