Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Mucahit K. Uner"'
Autor:
Alperen Elihos, Mucahit K. Uner
Publikováno v:
SIU
Constant false alarm rate (CFAR) processors are used to detect radar targets in the nonstationary background noise distribution with unknown parameters. In this study, a new CFAR processor based on Range Ordered Statistics (ROS) is proposed. In homog
Autor:
Abdullah Akaydin, Mucahit K. Uner
Publikováno v:
2020 28th Signal Processing and Communications Applications Conference (SIU).
Autor:
Abdullah Akaydin, Mucahit K. Uner
Publikováno v:
2019 11th International Conference on Electrical and Electronics Engineering (ELECO).
In this study, the detection performance of constant false alarm rate (CFAR) processors based on reference window cells censoring techniques in nonhomogeneous (interfering targets) environment was investigated. In homogeneous environment, the false a
Autor:
Mucahit K. Uner, M. Hanseref Yasin
Publikováno v:
SIU
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.
Publikováno v:
Journal of the Franklin Institute. 336:257-267
We present a review of different distributed constant false alarm rate target detection techniques. We argue that for optimum results involving multiple targets and clutter of variable characteristics, the proper choice is an architecture involving d
Autor:
Pramod K. Varshney, Mucahit K. Uner
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 32:84-97
The performance of distributed constant false alarm rate (CFAR) detection with data fusion both in homogeneous and nonhomogeneous Gaussian backgrounds is analyzed. The ordered statistics (OS) CFAR detectors are employed as local detectors. With a Swe
Autor:
Mucahit K. Uner, Ibrahim Pektas
Publikováno v:
SIU
In this study, the performance of constant false alarm rate (CFAR) processors in nonhomogeneous clutter background is analyzed. The nonhomogeneous clutter power is modeled as varying linearly in logarithmic scale from one low fixed level to a high fi
Autor:
Akin Ozdemir, Mucahit K. Uner
Publikováno v:
2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU).
Radar threshold is a parameter that affects radar performance directly by causing a trade off between detection and false alarm probability. While designing radar systems, it must be set accurately in order to have reliable decisions about target det
Autor:
Elvan Sahin, Mucahit K. Uner
Publikováno v:
2010 IEEE 18th Signal Processing and Communications Applications Conference.
In this paper, the detection performance of CA-CFAR processor is analysed for M-correlated sweeps in Gaussian clutter environment which contains interfering targets. The performance analyses are done for different number of sweeps, M, and sweep-to-sw
Autor:
Mucahit K. Uner, Murat Sansal
Publikováno v:
2009 IEEE 17th Signal Processing and Communications Applications Conference.
In recent years, multi pulse nongaussian signal model has been one of the most frequently used signal model on radar detection. A suboptimum receiver for that model has been already developed. In order to realize that detector the correlation propert