Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jafar W. Abdul Sadah"'
Publikováno v:
Al-Qadisiyah Journal for Engineering Sciences. 14:232-240
This literature reviews the work of researchers on ground-penetrating radar (GPR). This research consists of five sections starting from the first section that focuses on the general application and the advantage of the GPR system in comparison to ot
Autor:
Hussain M. Alshamy, Jafar W. Abdul Sadah, Thamir R. Saeed, Ghufran M. Hatem, Shaymaa A. Mohammed
Publikováno v:
2021 4th International Iraqi Conference on Engineering Technology and Their Applications (IICETA).
Publikováno v:
International Journal of Intelligent Engineering and Systems. 12:85-94
Publikováno v:
International Journal of Intelligent Engineering and Systems. 12:118-128
In the radar system, detection represents a basic and important stage in the receiver side. The detection process is based on the thresholding criteria; two philosophies of this criteria, constant and adaptive threshold. The constant threshold is sim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ba2a601aeb74a63596028ce4063344f
Publikováno v:
Procedia Computer Science. 131:58-64
The combination of different CFARs algorithms has been done to overcome the limitations of individual ones with different return signals in the non-homogenous environment. A comparative study of two kinds of algorithms; the combination between CFAR i
Autor:
Assel H. Gatan, Shaymaa A. Mohammed, Hussain Mumtaiz Alshamy, Jafar W. Abdul Sadah, Thamir R. Saeed, Ghufran M. Hatem
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 1090:012042
A Ground-penetrating radar (GPR) is considered an efficient non-destructive device for detecting the buried object. The GPR operation is based on the analysis of the received scattered of the transmitted signal. Its output is the two-dimensional imag
Publikováno v:
International Journal of Reasoning-based Intelligent Systems. 12:138
This paper presents a robust clutter classifier based on the neural network to assist the radar receiver by choosing optimal constant false alarm rate where this classifier has been trained for 16 classes, four radar return distribution with differen
Publikováno v:
2018 Third Scientific Conference of Electrical Engineering (SCEE).
The detection of the target depends on the accuracy of the classification of the radar return signals. This classification accuracy is based on the features which extracted from that signal. This paper presents an optimal algorithm for select optimal
Publikováno v:
IETE Journal of Research. 61:65-71
This paper presents the recognition of digital signal modulation by combining four cumulants as signal features and a threshold discriminator assigned for each cumulant. In this paper, the problem of recognition has been solved by finding a suitable