December 24, 2021
A paper by Naoki Takeyama (a fourth-year student in the Faculty of Environment and Information Studies) and his co-authors from the laboratory of Professor Jin Mitsugi of the Faculty of Environment and Information Studies received the FIT Paper Award at the 20th Forum on Information Technology (FIT 2021) of the Information Processing Society of Japan.
This paper is part of the results of the "R&D of Backscatter Communication Technology for Synchronous and Multiple Access Signal Processing," a project for the R&D for Expansion of Radio Wave Resources for FY2021 by the Ministry of Internal Affairs and Communications.
The FIT Paper Award is presented to papers deemed particularly outstanding from the award sessions at the Forum on Information Technology (FIT), a joint conference of the Information Processing Society of Japan (IPSJ), the Information and Systems Society of the Institute of Electronics, Information and Communication Engineers (IEICE), and the IEICE Human Communication Group, which began in 2002. In accordance with the FIT Academic Award Selection Regulations, the FIT Academic Award Selection Committee reviews and scores up to 10 candidate papers, and the award is given to those recognized as exceptionally excellent.
[FIT Paper Award]
"A Fast Blind Equalizer Using Higher-Order Statistics"
Comment from the Award Winner, Naoki Takeyama (4th-year student, Faculty of Environment and Information Studies)
I am greatly honored to receive such a wonderful award. Despite the relatively short research period, Professor Jin Mitsugi gave me the opportunity to submit my work to the conference and guided me from the fundamentals of wireless communication. The strong desire to bring my research to fruition was my motivation, which enabled me to advance my work swiftly.
My research proposes an algorithm for a blind equalizer, which conventionally required thousands of iterations to converge. By constructing a new dimensionless evaluation function using the modulation scheme and applying a high-speed optimization algorithm, the proposed algorithm can converge in only about a dozen iterations. I intend to continue dedicating myself to further improving this research for my graduation thesis.
Issued by: General Affairs Section, Shonan Fujisawa Campus (SFC) Office