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
Analysis of Non-Homogeneous Weibull Distributed Clutter
Date
2019-01-01
Author
Yasin, M. Hanseref
Uner, Mucahit K.
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
188
views
0
downloads
Cite This
In this study, for high resolution CFAR (Constant False Alarm Rate) radar systems, Expectation-Maximization (EM) method was applied to range heterogeneous Weibull clutter to determine homogeneous regions and estimate the parameters of distributions. The number of distribution in range and their ratio, the scale and shape parameter of distributions were assumed to be unknown. The performance of EM algorithm in terms of, the number of clutter regions in the environment, the ratio of the regions, the number of CFAR reference cells, the value of shape and scale parameters of the distributions, was analysed.
Subject Keywords
Expectation-Maximization
,
Weibull clutter
,
Maximum likelihood
,
Parameter estimation
,
Non-homogeneous clutter
,
Expectation-Maximization
,
Weibull clutter
,
Maximum likelihood
,
Parameter estimation
,
Non-homogeneous clutter
URI
https://hdl.handle.net/11511/64977
DOI
https://doi.org/10.1109/siu.2019.8806245
Conference Name
27th Signal Processing and Communications Applications Conference (SIU)
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
INVESTIGATION OF RANGE MIGRATION COMPENSATION IN RADAR DETECTION
ÇULHA, ONUR; Tanık, Yalçın; Department of Electrical and Electronics Engineering (2022-9-1)
In this study, range migration compensation methods in radar detection are examined from two different aspects: proposing novel methods to compromise between computational complexity and detection performance, and investigating range migration compensation under clutter and target fluctuation. We proposed a low complexity implementation of repetitive chirp-z transform (CZT) in order to be employed in Keystone transform and Radon Fourier transform with no loss in performance. Another efficient method has bee...
Calculation of the Raman frequencies as a function of temperature in phase I of benzene
Tari, O.; Yurtseven, Hasan Hamit (2013-06-01)
This study gives our calculation of the Raman frequencies of the lattice modes A (A(1g)), B (A(g)B(2g)) and C (B1gB3g) as a function of temperature at constant pressures of 0, 1.4 and 3.05 GPa for the solid phase I of benzene. The Raman frequencies of those lattice modes are calculated using the volume data from the literature through the mode Gruneisen parameters for the solid phase I of this molecular crystal. It is shown here that the Raman frequencies of the lattice modes studied decrease with increasin...
Calculation of a generalised smectic–hexatic phase diagram in liquid crystals
Yurtseven, Hasan Hamit (Informa UK Limited, 2012-5)
This study gives a generalised smectic-hexatic phase diagram calculated by the Landau mean field theory. Our calculated phase line equations are fitted to the experimental phase lines, which represent first-order transition for the liquid crystals studied here. The temperature-and concentration-dependent phase lines calculated in this study describe the observed T-X phase diagram for the smectic-hexatic transitions. This indicates that the method of calculating the phase line equations from the mean field t...
Applications of estimation techniques on genetic and other types of data
Aslan, Murat; Akkaya, Ayşen; Department of Statistics (2003)
The parameters of genetic and other types of data, particularly with small samples, are estimated by using method of moments, least squares, minimum chi- square, maximum likelihood and modified maximum likelihood estimation methods. These methods are also compared in terms of their efficiencies and robustness property.
Analysis Window Length Selection For Linear Signal Models
Yazar, Alper; Candan, Çağatay (2015-05-19)
A method is presented for the selection of analysis window length, or the number of input samples, for linear signal modeling without compromising the model assumptions. It is assumed that the signal of interest lies in a known linear space and noisy samples of the signal is provided. The goal is to use as many signal samples as possible to mitigate the effect of noise without violating the assumptions on the model. An application example is provided to illustrate the suggested method.
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
M. H. Yasin and M. K. Uner, “Analysis of Non-Homogeneous Weibull Distributed Clutter,” Sivas Cumhuriyet Univ, Sivas, Turkey, 2019, p. 0, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/64977.