Mohamed Bakry El-Mashede

Work place: Electrical Engineering Dept., Faculty of Engineering, Al-Azhar University, Nasr City, Cairo, Egypt



Research Interests: Signal Processing, Optical Communication, Wireless Communication


Mohamed Bakry El-Mashade received the B.Sc. degree in electrical engineering from Al-Azhar University, Cairo, in 1978, the M.Sc. degree in the theory of communications from Cairo University, in 1982, Le D.E.A d‟Electronique (Spécialité: Traitment du Signal), and Le Diplôme de Doctorat (Spécialité: Composants, Signaux et Systems) in optical communications, from USTL, L‟Academie de Montpellier, Montpellier, France, in 1985 and 1987, respectively. He serves on the Editorial Board of several International Journals. He has also served as a reviewer for many international journals. He was the author of more than 60 peer-reviewed journal articles and the coauthor of more than 60 journal technical papers as well as three international book chapters. He received the best research paper award from International Journal of Semiconductor Science & Technology in 2014 for his work on “Noise Modeling Circuit of Quantum Structure Type of Infrared Photodetectors”. He won the Egyptian Encouraging Award, in Engineering Science, two times (1998 and 2004). He was included in the American Society „Marquis Who‟s Who‟ as a „Distinguishable Scientist‟ in 2004 and in the International Biographical Centre of Cambridge (England) as an „Outstanding Scientist‟ in 2005. He has been named an official listee in the 2020 edition of Marquis Who’s Who in the World®. His research interests include statistical signal processing, digital and optical signal processing, free space optical communications, fiber Bragg grating, quantum structure family of optical devices, SDR, cognitive radio, and software defined radar & SAR.

Author Articles
Inhomogeneous Assessment of New Mechanism of Adaptive Detection of Partially-correlated χ2-Targets

By Mohamed Bakry El-Mashede

DOI:, Pub. Date: 8 Dec. 2021

Owing to its merits in fluctuating radar targets detection, the scenario of fusion structure has rapidly become a methodology of choice. The base goal of this paper is to analyze the linear type of this methodology, which is termed as linear fusion (LF). The target of interest along with fallacious ones is assumed to be fluctuating obeying χ2-model of two-degrees of freedom in their fluctuation, with particular attention on partially-correlated target returns. Closed-form expression is derived for the detection performance of the proposed processor. The analytical results are validated with computer simulation. Our simulation results demonstrate that the LF model yields impressive detection performance in terms of detection performance and CFAR loss, in comparison with the conventional schemes in the case where the operating environment is free of or contaminated with interferers. Additionally, the LF homogeneous performance outweighs that of Neyman-Pearson (N-P) detector, which is the yardstick of the CFAR world. Moreover, the LF structure has the capability of holding the rate of false alarm fixed against the presence of interferers. The ability to obtain improved performance compared to existing models is the major contribution of this research.

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