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
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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
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Journal ArticleDOI
JMB: scaling wireless capacity with user demands
TL;DR: JMB, a joint multiuser beamforming system, that enables independent access points (APs) to beamform their signals and communicate with their clients on the same channel as if they were one large MIMO transmitter, is presented.
Journal ArticleDOI
High Accuracy WiFi-Based Human Activity Classification System with Time-Frequency Diagram CNN Method for Different Places.
TL;DR: Wang et al. as mentioned in this paper used Channel State Information (CSI) to train Convolutional Neural Networks (CNNs) and further classify the action, which achieved an average accuracy of same place and different place is 93.2% and 90.3%, respectively.
Journal ArticleDOI
SAPIL: single access point based indoor localisation using Wi-Fi L-shaped antenna array
TL;DR: The authors proposed the SAPIL usingWi-Fi L-shaped antenna array without modifying the existing Wi-Fi protocol, which achieves the median AoA estimation error of 5°, median distance estimationerror of 0.5 m, and median localisation error of 1.8 m.
Proceedings ArticleDOI
A Novel Approach to Channel Profiling Using the Frequency Selectiveness of WiFi CSI Samples
TL;DR: In this paper, the authors use CSI to characterize the degree to which a wireless signal has been attenuated and delayed, and hence to characterize different objects and multipath channel characteristics from CSI.
Journal ArticleDOI
HRI: Hierarchic Radio Imaging-Based Device-Free Localization
TL;DR: In this paper , a hierarchic radio imaging (HRI)-based DFL algorithm is proposed, which groups the wireless links according to the length of links and assigns a priority to each link group, and a grid normalized model is proposed to calculate the grid values, and then a square human model is used to locate the target.
References
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Predictable 802.11 packet delivery from wireless channel measurements
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