CV


FA
Mojtaba Hajiabadi

Mojtaba Hajiabadi

Assistant Professor

Faculty: Electrical and Computer Engineering

Department: Electronic

Degree: Ph.D

CV
FA
Mojtaba Hajiabadi

Assistant Professor Mojtaba Hajiabadi

Faculty: Electrical and Computer Engineering - Department: Electronic Degree: Ph.D |

Dr. Mojtaba Hajiabadi, a graduate of Electrical Engineering with a focus on Telecommunication Systems, earned his Bachelor's degree in 2012 from the University of Birjand, his Master's degree in 2014, and his Ph.D. in 2018 from Ferdowsi University of Mashhad. He was an outstanding student, holding third rank in his Bachelor's, first in his Master's, and first in his Ph.D. In 2018, he completed a doctoral research opportunity at KU Leuven University in Belgium under the supervision of Professor Marc Moonen, a distinguished IEEE Fellow.

During his Ph.D., Dr. Hajiabadi received several awards from the National Elites Foundation, including research grants, teaching assistantships, and an international research opportunity grant. After completing his studies, he worked for five years in Iran's telecommunications industry, contributing to satellite communication transceivers in the aerospace sector and optical telecommunication systems at the Infrastructure Communications Company. Since 2022, he has been a full-time faculty member in the Communication Engineering Department, Faculty of Electrical and Computer Engineering, at the University of Birjand. His research interests include adaptive filters, machine learning, and AI in wireless communication systems.

If you are interested in collaborating on research in his field of expertise, you may contact him via the following email address:

Email: mhajiabadi@birjand.ac.ir

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Robust adaptive beamforming in impulsive noise environments

AuthorsMojtaba Hajiabadi,Hamid Radmanesh,Mahmood Samkan
JournalIET Radar, Sonar and Navigation
Page number2145-2150
Serial number13
Volume number12
Paper TypeFull Paper
Published At2019
Journal TypeElectronic
Journal CountryIran, Islamic Republic Of
Journal IndexISI،JCR،Scopus
KeywordsBeamforming, impulse noise, adaptive filter

Abstract

Adaptive beamforming is one of the most important parts of a smart antenna. The most existing adaptive algorithms are based on the second-order-moment of the error signal like least-mean-square and recursive-least-square (RLS) algorithms. Although these algorithms are popular, their performances are not robust in impulsive noise environments. A linearly constrained correntropy-based adaptive algorithm to solve the beamforming problem in impulsive noises is proposed in this study. The kernel width parameter of the proposed algorithm is considered to be time-varying to deal with non-stationary and impulsive environments. Simulation results illustrate that the proposed beamforming algorithm has a robust performance in impulsive noise. Moreover, the computational complexity of the authors’ algorithm is less than the recent algorithms presented in this literature.

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