scispace - formally typeset
Journal ArticleDOI

Tool release: gathering 802.11n traces with channel state information

Reads0
Chats0
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

Content maybe subject to copyright    Report

Citations
More filters
Proceedings ArticleDOI

Dual-Target Body Model For Device-Free Localization Applications

TL;DR: A dual-target model for quantitative evaluation of the influence of two people standing or moving in the surroundings of a radio link is presented here and paves the way to a complete multi-target body model.
Journal ArticleDOI

AutoFi: Towards Automatic WiFi Human Sensing via Geometric Self-Supervised Learning

TL;DR: The AutoFi is proposed, an automatic WiFi sensing model based on a novel geometric self-supervised learning algorithm that transfers knowledge from randomly collected CSI samples into human gait recognition and achieves state-of-the-art performance.
Proceedings ArticleDOI

RISE: robust wireless sensing using probabilistic and statistical assessments

TL;DR: Rise as discussed by the authors combines probability and statistical assessments together with anomaly detection to identify samples that are likely to be misclassified and uses feedback on these samples to update a deployed wireless sensing model.
Proceedings ArticleDOI

CSI Based High Accuracy Device Free Passive Localization System

TL;DR: A device free passive localization system that does not require the user to have any measurement devices is proposed that has better location accuracy method comparing with the conventional fingerprint algorithms.
Proceedings ArticleDOI

SurFi: detecting surveillance camera looping attacks with wi-fi channel state information

TL;DR: In this article, a real-time system called SurFi is proposed to detect surveillance camera looping attacks by leveraging the channel state information (CSI) from Wi-Fi signals.
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.
Related Papers (5)