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
More filters
Journal ArticleDOI
WiFi Vision: Sensing, Recognition, and Detection With Commodity MIMO-OFDM WiFi
TL;DR: A survey of recent advances in WiFi vision problems, i.e., sensing, recognition, and detection by utilizing the channel state information (CSI) of the commodity WiFi devices, focuses on nine key applications of smart environments.
Journal ArticleDOI
QGesture: Quantifying Gesture Distance and Direction with WiFi Signals
TL;DR: This paper proposes QGesture, a gesture recognition system that uses CSI values provided by COTS WiFi devices to measure the movement distance and direction of human hands and proposes a robust estimation algorithm, called LEVD, to estimate and remove the impact of environmental dynamics.
Proceedings ArticleDOI
Shadow Wi-Fi: Teaching Smartphones to Transmit Raw Signals and to Extract Channel State Information to Implement Practical Covert Channels over Wi-Fi
TL;DR: This work demonstrates how to transmit raw IQ samples from a large buffer onWi-Fi chips and shows how to extract channel state information (CSI) on a per frame basis, and builds a covert channel on top of Wi-Fi to stealthily exchange information between two devices by prefiltering Wi-fi frames prior to transmission.
Proceedings ArticleDOI
MultiTrack: Multi-User Tracking and Activity Recognition Using Commodity WiFi
TL;DR: Experimental results show that this commodity WiFi based human sensing system can achieve decimeter localization accuracy and over 92% activity recognition accuracy under multi-user scenarios.
Journal ArticleDOI
Device-Free Wireless Sensing for Human Detection: The Deep Learning Perspective
TL;DR: In this article, the authors provide a comprehensive survey of the state-of-the-art research on wireless sensing for human detection with a focus on WSSs, including data acquisition for DL model training, calibration of signals from commercial devices, multimodal sensing, simultaneous user identification and activity recognition, multiuser human detection, and generalization ability of DL models.
References
More filters
Proceedings ArticleDOI
Predictable 802.11 packet delivery from wireless channel measurements
TL;DR: It is shown that, for the first time, wireless packet delivery can be accurately predicted for commodity 802.11 NICs from only the channel measurements that they provide, and the rate prediction is as good as the best rate adaptation algorithms for 802.
Journal ArticleDOI
ACM SIGCOMM computer communication review
TL;DR: The Internet is going mobile and wireless, perhaps quite soon, with a number of diverse technologies leading the charge, including, 3G cellular networks based on CDMA technology, a wide variety of what is deemed 2.5G cellular technologies (e.g., EDGE, GPRS and HDR), and IEEE 802.11 wireless local area networks (WLANs).
Journal ArticleDOI
802.11 with multiple antennas for dummies
TL;DR: This tutorial provides a brief introduction to multiple antenna techniques, and describes the two main classes of those techniques, spatial diversity and spatial multiplexing.