NDLI: Iterative classification strategy for multi-resolution wireless sensing of passive targets

Content Provider	IET Digital Library
Author	Viani, F. Migliore, M. D. Polo, A. Salucci, M. Massa, A.
Abstract	In this Letter, the estimation of the presence, position, and posture of a device-free target is addressed through a multi-resolution strategy that applies a virtual zoom on the information content of the channel state information measured by a single WiFi link. A series of binary classifiers are trained to estimate multiple location-based features of the target from the same measurement. Preliminary experiments point out the feasibility to estimate high-resolution features such as the target posture even in very large investigation domains, passing through the estimation of the target presence and position. A robust and ubiquitous wireless sensing is obtained with failure rates lower than 2.5% in the three considered resolution steps.
Starting Page	101
Ending Page	103
Page Count	3
ISSN	00135194
Volume Number	54
e-ISSN	1350911X
Issue Number	Issue 2, Jan (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/54/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2017.2036
Journal	Electronics Letters
Publisher Date	2017-11-21
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Channel State Information High-resolution Feature Interpolation And Function Approximation Iterative Classification Strategy Iterative Method Multiple Location-based Feature Multiresolution Wireless Sensing Numerical Analysis Passive Targets Radio Link And Equipment Single WiFi Link Wireless LAN
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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