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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WiPIN: Operation-Free Passive Person Identification Using Wi-Fi Signals
TL;DR: This paper presents an operation-free person identification system, namely WiPIN, that requires least user collaboration and achieves good performance, and demonstrates the feasibility on commodity off-the-shelf Wi-Fi devices by well- designed signal pre-processing, feature extraction, and identity matching algorithms.
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Human Activity Recognition Using Deep Learning Networks with Enhanced Channel State Information
TL;DR: This paper develops a CSI feature enhancement scheme (CFES), including two modules of background reduction and correlation feature enhancement, for preprocessing the data input to the DLN.
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Detecting radio frequency interference for CSI measurements on COTS WiFi devices
TL;DR: This paper demonstrates that it is feasible to identify the interfered CSI measurements due to the unique properties induced by RFI, and proposes two RFI detection algorithms by utilizing cyclostationary analysis from different angles that are robustly stable for different scenarios.
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WiBorder: Precise Wi-Fi based Boundary Sensing via Through-wall Discrimination
TL;DR: WiBorder is the first work that enables precise sensing boundary determination via through-wall discrimination, which can immediately benefit other Wi-Fi based applications.
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Accurate Indoor Localization Based on CSI and Visibility Graph.
TL;DR: A novel passive indoor localization algorithm which combines the statistics and network features and is more than 9% better than the state-of-the-art techniques.
References
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