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  1. Proceedings of the 3rd International Workshop on Energy Harvesting & Energy Neutral Sensing Systems (ENSsys '15)
  2. Accurate Indoor localization with Channel State Information
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Batteries Not Included: Moving Toward Long-Term Sustainable Sensing
Approaches to Transient Computing for Energy Harvesting Systems: A Quantitative Evaluation
Photovoltaic Cells for Micro-Scale Wireless Sensor Nodes: Measurement and Modeling to Assist System Design
An Energy-Efficient Transmission Strategy in Integrated HAP/Satellite Wireless Sensor Networks
Delay Tolerant Routing Protocols for Energy-Neutral Animal Tracking
ASIM: Solar Energy Availability Model for Wireless Sensor Networks
Accurate Indoor localization with Channel State Information
Enspect: A Complete Tool using Modeling and Real Data to Assist the Design of Energy Harvesting Systems
Low-cost Device-Free Localization using Detection Probability Model in Outdoors

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Accurate Indoor localization with Channel State Information

Content Provider ACM Digital Library
Author Zhang, Yajun Chen, Xiaojiang Wang, Hongjun Chen, Lili
Abstract Device-free localization(DFL) is an emerging technology to detect whether there exists any target(s) in the area of interests without carrying any device to them. It is an essential primitive for a large-scale range of application including intrusion localization of warehouse, elder care at home, and action about hostage rescue, etc. Most DFL relying on received signal strength (RSS) have proposed to be able to provide acceptable accuracy and distance error. Although RSS can be easily measured with commercial equipments, it is suspectable to measurement itself due to multipath effect in indoor environment. In this paper, we present the Ailot approach to overcome the preceding RSS-based limitation. Ailot explores properties of Channel State Information(CSI) from PHY layer and uses the novel feature extracted from CSI to leverages frequency and spatial diversity. The target localization of Ailot approach is conducted with maximum likelihood method. We implement Ailot approach with commercial IEEE 802.11n NICs and evaluate its performance in a real-world indoor environment. Experimental results show that Ailot can achieve high localization accuracy and distance error. Moreover, comparing to RSS-based scheme, our CSI-based approach enables better localization performance in accuracy and distance error.
Starting Page 35
Ending Page 36
Page Count 2
File Format PDF
ISBN 9781450338370
DOI 10.1145/2820645.2820650
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2015-11-01
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Rss Csi Device-free localization Maximum likelihood method
Content Type Text
Resource Type Article
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