Journal ArticleDOI
Tool release: gathering 802.11n traces with channel state information
Daniel Halperin,Wenjun Hu,Anmol Sheth,David Wetherall +3 more
- Vol. 41, Iss: 1, pp 53-53
TLDR
The measurement setup comprises the customized versions of Intel's close-source firmware and open-source iwlwifi wireless driver, userspace tools to enable these measurements, access point functionality for controlling both ends of the link, and Matlab scripts for data analysis.Abstract:
We are pleased to announce the release of a tool that records detailed measurements of the wireless channel along with received 802.11 packet traces. It runs on a commodity 802.11n NIC, and records Channel State Information (CSI) based on the 802.11 standard. Unlike Receive Signal Strength Indicator (RSSI) values, which merely capture the total power received at the listener, the CSI contains information about the channel between sender and receiver at the level of individual data subcarriers, for each pair of transmit and receive antennas.Our toolkit uses the Intel WiFi Link 5300 wireless NIC with 3 antennas. It works on up-to-date Linux operating systems: in our testbed we use Ubuntu 10.04 LTS with the 2.6.36 kernel. The measurement setup comprises our customized versions of Intel's close-source firmware and open-source iwlwifi wireless driver, userspace tools to enable these measurements, access point functionality for controlling both ends of the link, and Matlab (or Octave) scripts for data analysis. We are releasing the binary of the modified firmware, and the source code to all the other components.read more
Citations
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RSSI-based Methods for LOS/NLOS Channel Identification in Indoor Scenarios
Fabrizio Carpi,Luca Davoli,Marco Martalo,Antonio Cilfone,Yu Yingjie,Yi Wang,Gianluigi Ferrari +6 more
TL;DR: The results show that simple threshold-based classification criteria on the considered statistical features may yield approximately 85÷90% LOS/NLOS classification accuracy, making them an attractive strategy for future 5G systems.
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Calibrating Time-variant, Device-specific Phase Noise for COTS WiFi Devices
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Indoor Localization Using Commodity Wi-Fi APs: Techniques and Challenges
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TL;DR: This survey is to review the most recent works on WiFi based localization systems that use commodity hardware highlighting their strengths and limitations, investigating major technical challenges, and outlining opportunities for future research.
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ORION: Orientation estimation using commodity Wi-Fi
Mohamed Naoufal Mahfoudi,Thierry Turletti,Thierry Parmentelat,Fabien Ferrero,Leonardo Lizzi,Robert Staraj,Walid Dabbous +6 more
TL;DR: This work proposes the ORION system to estimate the orientation (heading and yaw) of a MIMO Wi-Fi equipped object, relying on a joint estimation of the angle of arrival and the angles of departure, and demonstrates that an appropriate phase compensation strategy significantly improves estimation accuracy.
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Revisiting Indoor Intrusion Detection With WiFi Signals: Do Not Panic Over a Pet!
TL;DR: PetFree proposes a novel CSI-EIH model to characterize the relationship between CSI measurements and the EIH of the target, and achieves accurate pet identification using only a single WiFi link, significantly outperforming the state-of-the-art approach.
References
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