Show/Hide Menu
Hide/Show Apps
anonymousUser
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Açık Bilim Politikası
Açık Bilim Politikası
Frequently Asked Questions
Frequently Asked Questions
Browse
Browse
By Issue Date
By Issue Date
Authors
Authors
Titles
Titles
Subjects
Subjects
Communities & Collections
Communities & Collections
Indoor localization and tracking based on RSSI and accelerometer measurements
Download
index.pdf
Date
2015
Author
Doğan, Melih
Metadata
Show full item record
Item Usage Stats
7
views
0
downloads
In this study, first, received signal strength (RSS) based indoor localization and tracking techniques including maximum likelihood estimation (MLE), Kalman Filter (KF), serial and parallel extended Kalman Filter (EKF) are investigated and their performances compared to each other via a simulation study. Later, sensor fusion with RSS and inertial measurement unit (IMU) for target tracking is discussed to improve accuracy of RSS-based tracking by using KF and EKF as fusion algorithms. Effects of channel parameters and IMU precision to tracking performance are analyzed. Derivations of Posterior Cramer-Rao Bounds for tracking are provided for ONLY RSS and RSS/IMU fusion scenarios with respect to different measurement variances. Finally, we establish a test-bed for RSS based localization and tracking by using Xbee S2 RF modules. ONLY RSS and RSS/IMU fusion scenarios are compared to each other experimentally. RSSI performance is also examined with respect to antenna orientation of Xbee S2 RF module.
Subject Keywords
Signal theory (Telecommunication).
,
Signal processing.
,
Accelerometers.
,
Kalman filtering.
URI
http://etd.lib.metu.edu.tr/upload/12619543/index.pdf
https://hdl.handle.net/11511/25283
Collections
Graduate School of Natural and Applied Sciences, Thesis