Journal ArticleDOI
See-Through Walls: Motion Tracking Using Variance-Based Radio Tomography Networks
Joey Wilson,Neal Patwari +1 more
TLDR
A new method for imaging, localizing, and tracking motion behind walls in real time by taking advantage of the motion-induced variance of received signal strength measurements made in a wireless peer-to-peer network is presented.Abstract:
This paper presents a new method for imaging, localizing, and tracking motion behind walls in real time. The method takes advantage of the motion-induced variance of received signal strength measurements made in a wireless peer-to-peer network. Using a multipath channel model, we show that the signal strength on a wireless link is largely dependent on the power contained in multipath components that travel through space containing moving objects. A statistical model relating variance to spatial locations of movement is presented and used as a framework for the estimation of a motion image. From the motion image, the Kalman filter is applied to recursively track the coordinates of a moving target. Experimental results for a 34-node through-wall imaging and tracking system over a 780 square foot area are presented.read more
Citations
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Proceedings ArticleDOI
Challenges: device-free passive localization for wireless environments
TL;DR: This talk gives a holistic overview of the area of contact-free ambient sensing based on RF technology, highlighting how it evolved over a decade from binary-detection in controlled environments to commercial systems for border protection and smart homes.
Journal ArticleDOI
From RSSI to CSI: Indoor localization via channel response
Zheng Yang,Zimu Zhou,Yunhao Liu +2 more
TL;DR: In this article, the authors survey the channel state information (CSI) in 802.11 a/g/n and highlight the differences between CSI and RSSI with respect to network layering, time resolution, frequency resolution, stability, and accessibility.
Proceedings ArticleDOI
3D tracking via body radio reflections
TL;DR: WiTrack bridges a gap between RF-based localization systems which locate a user through walls and occlusions, and human-computer interaction systems like Kinect, which can track a user without instrumenting her body, but require the user to stay within the direct line of sight of the device.
From RSSI to CSI: Indoor Localization via Channel Response, A survey on indoor localization using PHY-layer information
Yang Zheng,Zhou Zimu,Yunhao Liu +2 more
TL;DR: This article surveys the new trend of channel response in localization and investigates a large body of recent works and classify them overall into three categories according to how to use CSI, highlighting the differences between CSI and RSSI.
Journal ArticleDOI
Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks
TL;DR: In this article, the authors review the thirty-year history of ML by elaborating on supervised learning, unsupervised learning, reinforcement learning and deep learning and investigate their employment in the compelling applications of wireless networks, including heterogeneous networks, cognitive radios (CR), Internet of Things (IoT), machine to machine networks (M2M), and so on.
References
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Book
Fundamentals of Wireless Communication
David Tse,Pramod Viswanath +1 more
TL;DR: In this paper, the authors propose a multiuser communication architecture for point-to-point wireless networks with additive Gaussian noise detection and estimation in the context of MIMO networks.
Proceedings ArticleDOI
Towards a Better Understanding of Context and Context-Awareness
TL;DR: Some of the research challenges in understanding context and in developing context-aware applications are discussed, which are increasingly important in the fields of handheld and ubiquitous computing, where the user?s context is changing rapidly.
Journal ArticleDOI
The active badge location system
TL;DR: A novel system for the location of people in an office environment is described, where members of staff wear badges that transmit signals providing information about their location to a centralized location service, through a network of sensors.
An Introduction to the Kalman Filter
Greg Welch,Gary Bishop +1 more
TL;DR: The discrete Kalman filter as mentioned in this paper is a set of mathematical equations that provides an efficient computational (recursive) means to estimate the state of a process, in a way that minimizes the mean of the squared error.
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