Device-free target tracking

Radio tomographic imaging (RTI) is a device-free target localization algorithm that has been developed recently. It uses received signal strength changes of links in a wireless sensor network as the input to identify the target location at a specific time. We can localize the target without attachin...

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Bibliographic Details
Main Author: Ni Yun
Other Authors: Francois Quitin
Format: Theses and Dissertations
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/68576
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Institution: Nanyang Technological University
Language: English
Description
Summary:Radio tomographic imaging (RTI) is a device-free target localization algorithm that has been developed recently. It uses received signal strength changes of links in a wireless sensor network as the input to identify the target location at a specific time. We can localize the target without attaching a device to it. Compared with other device-free localization methods, RTI is relatively low cost. The objective of this project is to 1) implement radio tomographic imaging algorithms on simulated data and 2) apply a recursive Bayesian filter to infer target trajectories over time. Specifically, we have implemented the Kalman and particle filter. It is shown with computer simulations that both types are able to improve the accuracy of target trajectory estimates.