scispace - formally typeset
Journal ArticleDOI

Tool release: gathering 802.11n traces with channel state information

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.

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Citations
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Proceedings ArticleDOI

FreeSense: Indoor Human Identification with Wi-Fi Signals

TL;DR: In this article, a combination of Principal Component Analysis (PCA), Discrete Wavelet Transform (DWT) and Dynamic Time Warping (DTW) techniques is used for CSI waveform-based human identification.
Journal ArticleDOI

Learning Gestures From WiFi: A Siamese Recurrent Convolutional Architecture

TL;DR: A novel deep Siamese representation learning architecture for one-shot gesture recognition that outperforms state-of-the-art solutions for temporal–spatial representation learning and achieves satisfactory results under one- shot conditions is proposed.
Proceedings ArticleDOI

FreeCount: Device-Free Crowd Counting with Commodity WiFi

TL;DR: This paper proposes FreeCount, a device-free crowd counting scheme that is able to precisely estimate the number of people within a region using only commodity WiFi routers and proposes an information theory based feature selection scheme to select the most representative features that are sensitive to human motion.
Journal ArticleDOI

TW-See: Human Activity Recognition Through the Wall With Commodity Wi-Fi Devices

TL;DR: TW-See, a device-free passive human activity recognition system with Wi-Fi signals, which does not require any dedicated device and meets the scenarios of the signals through the wall, and proposes a normalized variance sliding windows algorithm to segment the human action time from the Or-PCA waveforms.
Proceedings ArticleDOI

Radio-based device-free activity recognition with radio frequency interference

TL;DR: This paper investigates the impact of RFI on device-free CSI-based location-oriented activity recognition and proposes a number of counter measures to mitigate the impact on the CSI vectors and improve the location- oriented activity recognition performance.
References
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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.
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