Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/68576
Title: Device-free target tracking
Authors: Ni Yun
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2016
Abstract: 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.
URI: http://hdl.handle.net/10356/68576
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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