Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
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
Investigation of music algorithm based and wd-pca method based electromagnetic target classification techniques for their noise performances
Download
index.pdf
Date
2009
Author
Ergin, Emre
Metadata
Show full item record
Item Usage Stats
246
views
95
downloads
Cite This
Multiple Signal Classification (MUSIC) Algorithm based and Wigner Distribution-Principal Component Analysis (WD-PCA) based classification techniques are very recently suggested resonance region approaches for electromagnetic target classification. In this thesis, performances of these two techniques will be compared concerning their robustness for noise and their capacity to handle large number of candidate targets. In this context, classifier design simulations will be demonstrated for target libraries containing conducting and dielectric spheres and for dielectric coated conducting spheres. Small scale aircraft targets modeled by thin conducting wires will also be used in classifier design demonstrations.
Subject Keywords
Electrical engineering.
,
Nuclear engineering.
URI
http://etd.lib.metu.edu.tr/upload/12611218/index.pdf
https://hdl.handle.net/11511/18950
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Optimum current injection strategy for magnetic resonance electrical impedance tomography
Altunel, Haluk; Eyüboğlu, Behçet Murat; Department of Electrical and Electronics Engineering (2008)
In this thesis, optimum current injection strategy for Magnetic Resonance Electrical Impedance Tomography (MREIT) is studied. Distinguishability measure based on magnetic flux density is defined for MREIT. Limit of distinguishability is analytically derived for an infinitely long cylinder with concentric and eccentric inhomogeneities. When distinguishability limits of MREIT and Electrical Impedance Tomography (EIT) are compared, it is found that MREIT is capable of detecting smaller perturbations than EIT. ...
Time domain scattering from single and multiple objects
Azizoğlu, Süha Alp; Koç, Seyit Sencer; Department of Electrical and Electronics Engineering (2008)
The importance of the T-matrix method is well-known when frequency domain scattering problems are of interest. With the relatively recent and wide-spread interest in time domain scattering problems, similar applications of the T-matrix method are expected to be useful in the time domain. In this thesis, the time domain spherical scalar wave functions are introduced, translational addition theorems for the time domain spherical scalar wave functions necessary for the solution of multiple scattering problems ...
Radar target classification method with reduced aspect dependency and improved noise performance using multiple signal classification algorithm
SEÇMEN, MUSTAFA; Sayan, Gönül (Institution of Engineering and Technology (IET), 2009-12-01)
This study introduces a novel aspect and polarisation invariant radar target classification method based on the use of multiple signal classification (MUSIC) algorithm for feature extraction. In the suggested method, for each candidate target at each designated reference aspect, feature matrices called 'MUSIC spectrum matrices (MSMs)' are constructed using the target's scattered data at different late-time intervals. An individual MSM corresponds to a map of a target's natural resonance-related power distri...
Implementation and performance evaluation of a three antenna direction finding system
Arslan, Ömer Çağrı; Tuncer, Temel Engin; Department of Electrical and Electronics Engineering (2009)
State of the art direction finding (DF) systems usually have several antennas in order to increase accuracy and robustness to certain factors. In this thesis, a three antenna DF system is built and evaluated. While more antennas give better DF performance, a three antenna system is useful for system simplicity and many of the problems in DF systems can be observed and evaluated easily. This system can be used for both azimuth and elevation direction of arrival (DOA) estimation. The system is composed of thr...
Tracker-aware detection : a theoretical and an experimental study
Aslan, Murat Şamil; Saranlı, Afşar; Department of Electrical and Electronics Engineering (2009)
A promising line of research attempts to bridge the gap between detector and tracker by means of considering jointly optimal parameter settings for both of these subsystems. Along this fruitful path, this thesis study focuses on the problem of detection threshold optimization in a tracker-aware manner so that a feedback from the tracker to the detector is established to maximize the overall system performance. Special emphasis is given to the optimization schemes based on two non-simulation performance pred...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
E. Ergin, “Investigation of music algorithm based and wd-pca method based electromagnetic target classification techniques for their noise performances,” M.S. - Master of Science, Middle East Technical University, 2009.