CV


Mojtaba Hajiabadi

Mojtaba Hajiabadi

Assistant Professor

Faculty: Electrical and Computer Engineering

Department: Electronic

Degree: Ph.D

CV
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

نمایش بیشتر

Adaptive Separation of PCMA Signals Based on Maximum Correntropy Algorithm

AuthorsMojtaba Hajiabadi
JournalINTERNATIONAL JOURNAL OF SATELLITE COMMUNICATIONS AND NETWORKING
Page number362-368
Serial number43
Volume number5
Paper TypeFull Paper
Published At2025
Journal TypeTypographic
Journal CountryIran, Islamic Republic Of
Journal IndexJCR،Scopus

Abstract

Paired carrier multiple access (PCMA) is a critical technique in satellite communication systems for frequency reuse and opti mizing spectrum utilization. While separation of PCMA signals in Gaussian noise environments is well- established, designing algorithms for impulsive noise remains a challenge. This paper proposes a novel correntropy- based adaptive filter with an equal izer to separate PCMA signals in the presence of impulsive noise. It is important to note that our approach is currently limited to single- beam applications and specifically for constant QPSK modulations. We compare the performance of our method with the well- known least mean square (LMS) adaptive filter using bit error rate (BER) and mean square deviation (MSD) simulations, demonstrating the superiority of our approach.

Paper URL