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
The Theory and Application of an Electromagnetic Target Recognition Method based on Natural-Resonance for Multi-Targets
Date
2008-01-01
Author
Secmen, Mustafa
Sayan, Gönül
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
256
views
0
downloads
Cite This
This paper presents the application of an electromagnetic target recognition method based on natural resonance mechanism and MUSIC algorithm to the target sets containing single amd multi-targets. The simpler case of the proposed method was applied to single targets previously and successful results were obtained [1]. However, when multi-targets are added to the test target set, the method needs crucial modifications and these modifications are mentioned in detail in this study. Owing to these modifications, the method becomes highly invariant to aspect angle and the distance between the multiple targets observed at once. The final version of the mentioned method is applied for the recognition of a target set containing single and multiple perfectly conducting spheres and sufficient accuracy rates are obtained even for low signal-to-noise ratios.
Subject Keywords
Identification
,
Scattering;
,
Expansion
,
Spheres
URI
https://hdl.handle.net/11511/46340
DOI
https://doi.org/10.1109/siu.2008.4632599
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
Further developments in the dynamic stiffness matrix (DSM) based direct damping identification method
Özgen, Gökhan Osman; Kim, Jay (2005-01-01)
Theoretical development of a dynamic stiffness matrix (DSM) based direct damping matrix identification method is revisited in this paper. This method was proposed to identify both the mechanism and spatial distribution of damping in dynamic structures as a matrix of general function of frequency. The objective of this paper, in addition to the review of the theoretical development, is to investigate some major issues regarding the feasibility of this method. The first issue investigated is how the errors in...
A new differential formulation of acoustic scattering by rotationally symmetrical penetrable scatterers
Günalp, Nilgün; TOSUN, H (1994-07-01)
A new differential formulation is presented for acoustic wave scattering from rotationally symmetric penetrable bodies. The numerical implementation of this formulation is fairly simple, and comprises basically the construction of the state-transition matrix of a system of differential equations and the solution of a matrix equation. The validity and the accuracy of the numerical scheme are tested considering objects of known scattering behavior. Other numerical applications are also presented to demonstrat...
A new electromagnetic target classification method with MUSIC algorithm
Secmen, Mustafa; Sayan, Gönül (2006-01-01)
This paper introduces a novel method for aspect invariant electromagnetic target recognition based on the use of multiple signal classification (MUSIC) algorithm to extract late-time resonant target features from the ultra-wideband scattered data. This method is mainly based on the usage of MUSIC spectra obtained from electromagnetic scattered data as the target features. This approach achieves very high accuracy rates even at very low signal-to-noise ratio (SNR) values although it needs scattered data for ...
A novel music algorithm based electromagnetic target recognition method in resonance region for the classification of single and multiple targets
Seçmen, Mustafa; Sayan, Gönül; Department of Electrical and Electronics Engineering (2008)
This thesis presents a novel aspect and polarization invariant electromagnetic target recognition technique in resonance region based on use of MUSIC algorithm for the extraction of natural-resonance related target features. In the suggested method, the feature patterns called “MUSIC Spectrum Matrices (MSMs)” are constructed for each candidate target at each reference aspect angle using targets’ scattered data at different late-time intervals. These individual MSMs correspond to maps of targets’ natural-res...
A novel electromagnetic target recognition method by MUSIC algorithm
Secmen, Mustafa; Sayan, Gönül (2006-12-01)
This paper introduces a novel method for aspect invariant electromagnetic target recognition based on the use of multiple signal classification (MUSIC) algorithm to extract late-time resonant target features from the ultra-wideband scattered data. This approach achieves very high accuracy rates even at very low signal-to-noise ratio (SNR) values although it needs scattered data for classifier design at only a few different aspects and makes use of the MUSIC algorithm in a simple and computationally efficien...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
M. Secmen and G. Sayan, “The Theory and Application of an Electromagnetic Target Recognition Method based on Natural-Resonance for Multi-Targets,” 2008, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/46340.
