Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
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
73
views
33
downloads
Cite This
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
Suggestions
OpenMETU
Core
On localization and tracking using received signal strength measurements /
Yılmaz, Alptekin; Yılmaz, Ali Özgür; Orguner, Umut; Department of Electrical and Electronics Engineering (2015)
In this study, first, some received signal strength (RSS) based localization techniques, including maximum likelihood estimation (MLE), multidimensional scaling (MDS) and weighted least squares (WLS), are investigated and compared to each other via a simulation study within the perspective of a collaborative localization scenario. MLE using RSS measurement model, called RSS-MLE is known in the literature to be significantly biased. An important observation of this work is that the aforementioned bias can be...
Dimension reduced robust beamforming for towed arrays
Topçu, Emre; Candan, Çağatay; Department of Electrical and Electronics Engineering (2015)
Adaptive beamforming methods are used to obtain higher signal to interference plus noise ratio at the array output. However, these methods are very sensitive to steering vector and covariance matrix estimation errors. To overcome this issue, robust methods are usually employed. On the other hand, implementation of these robust methods can be computationally expensive for arrays with large number of sensors. Reduced dimension techniques aim to lower the computational load of adaptive beamforming algorithms w...
GPS-Based Real-Time Orbit Determination of Low Earth Orbit Satellites Using Robust Unscented Kalman Filter
Karslıoğlu, Mahmut Onur; Erdogan, Eren; Pamuk, Onur (2017-11-01)
In this research, a novel algorithm for real-time orbit determination (RTOD) is presented using the robust unscented Kalman filter (RUKF) with global positioning system (GPS) group and phase ionospheric correction (GRAPHIC) observables. To increase the reliability of the solution, a robust approach is included in the UKF to cope with the bad, invalid, or degraded measurements leading to the divergence or inaccurate output of the filter. Robustness is provided by making the filter less sensitive to faulty me...
Receiver design for a class of new pulse shapes for CPM signals
Uğurlu, Bilal; Tanık, Yalçın; Department of Electrical and Electronics Engineering (2012)
Recently, a study on obtaining better Euclidean distance for CPM (Continuous Phase Modulation) signals that fit well-known GSM spectral envelope has been carried out, and significant performance improvements were obtained. Two new pulse shapes, which are represented using 8th degree polynomials, were optimized to give the best error performance under the constraint that the PSD stays below GSM spectral standards. However, the approach uses parameters that cause the number of states to increase considerably,...
Nonuform pulse repetition interval optimization for pulse doppler radars
Mercan, Hasan; Tanık, Yalçın; Department of Electrical and Electronics Engineering (2004)
In this thesis, a method of optimization of nonuniform pulse repetition interval for pulse Doppler radars is investigated. PRI jittering technique is used for the selection of inter-pulse intervals. An environment with white Gaussian noise and clutter interference is defined and applying generalized likelihood ratio test, a sufficient statistic function for the detection of the target is derived. The effect of jitter set selection on range and Doppler ambiguity resolution and clutter rejection is investigat...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
M. Doğan, “Indoor localization and tracking based on RSSI and accelerometer measurements,” M.S. - Master of Science, Middle East Technical University, 2015.