Optimized Gaussian Pulse Design for UWB System Using Particle Swarm Optimization Based-on Generalized Bessel Polynomials

Authors

  • Vanvisa Chutchavong School of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand
  • Thanavit Anuwongpinit School of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand https://orcid.org/0000-0003-2955-507X
  • Boonchana Purahong School of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand https://orcid.org/0000-0003-2955-507X
  • Tuanjai Archevapanich Department of Electronics and Communication Engineering, Faculty of Engineering and Architecture, Rajamangala University of Technology Suvarnabhumi, Nonthaburi, Thailand
  • Kanok Janchitrapongvej Faculty of Science and Technology, Southeast Bangkok College, Bangkok, Thailand

DOI:

https://doi.org/10.13052/jmm1550-4646.18413

Keywords:

Gaussian Pulse, UWB, Generalized Bessel Polynomials, PSO

Abstract

The ultrawideband system operates a very short pulse with enormous bandwidth to provide high data rates for data transmission. To design the UWB pulse, considering the pulse shape is very necessary, and a spectral emission mask of the designed pulse should meet the FCC spectral mask requirement between frequency range 3.1 GHz to 10.6 GHz. The traditional UWB pulse design is based on the Gaussian derivative. However, the frequency spectrum is not satisfied the FCC spectral mask requirement. In this study, the Gaussian pulse can be designed from the mathematical characteristic of the generalized Bessel polynomial. The spectral efficiency of the proposed pulse can be improved by the combination of the derivative of Gaussian pulse with a weight coefficient optimization with particle swarm optimization (PSO). PSO is a population-based optimization algorithm inspired by animal behavior. PSO is applied with generalized Bessel polynomial transfer function to gain the best weight coefficient, we proposed to optimize its weight vector to design a pulse that exceeds to FCC spectral mask. The results were found in MATLAB software show that generalized Bessel polynomials can approximate the proposed pulse with combination method and PSO. The spectral efficiency is improved to 89.30% and the spectrum is greater close to the FCC spectral mask requirement. To confirm an improved spectral efficiency compared to the previous works.

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Author Biographies

Vanvisa Chutchavong, School of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand

Vanvisa Chutchavong received doctoral’s degree in Electrical Engineering from the King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand. She has joined the department of computer engineering, school of engineering, King Mongkut’s Institute of Technology Ladkrabang, Thailand. Her current research interests include filter circuit, Bernstein polynomials application.

Thanavit Anuwongpinit, School of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand

Thanavit Anuwongpinit received the bachelor’s degree in information engineering from King Mongkut’s Institute of Technology Ladkrabang in 2013, the master’s degree in information engineering from King Mongkut’s Institute of Technology Ladkrabang in 2016, and the doctoral’s degree in Electrical Engineering from King Mongkut’s Institute of Technology Ladkrabang in 2021, respectively. He is currently working as a visiting lecturer at the Department of Computer Engineering, School of Engineering, King Mongkut’s Institute of Technology Ladkrabang. His research areas include signal processing, internet of things and embedded systems.

Boonchana Purahong, School of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand

Boonchana Purahong received doctoral’s degree in Electrical Engineering from the King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand. He has joined the department of computer engineering, school of engineering, King Mongkut’s Institute of Technology Ladkrabang, Thailand. His current research interests include embedded system and image processing.

Tuanjai Archevapanich, Department of Electronics and Communication Engineering, Faculty of Engineering and Architecture, Rajamangala University of Technology Suvarnabhumi, Nonthaburi, Thailand

Tuanjai Archevapanich received her his Dr.Eng. degree in Electrical Engineering from the King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand. Now she is currently working toward D.E. degree in Department of electrical Engineering of KMITL, Bangkok, Thailand. She has joined the department of Electronics and communication, Faculty of Engineering and Architectutre, Rajamangala University of Technology Suvarnabhumi (RUS). Her current research interests include microstrip antenna design, network analysis, and engineering education.

Kanok Janchitrapongvej, Faculty of Science and Technology, Southeast Bangkok College, Bangkok, Thailand

Kanok Janchitrapongvej received the B.Eng. in telecommunication engineering from King Mongkut’s Institute of Technology Ladkrabang (KMITL), Bangkok, Thailand. He obtained his M.Eng and D.Eng from Tokai University, Japan, in 1977 and 1986, respectively. He is currently visiting lecturer at southeast Bangkok college, Bangkok, Thailand. His research interests include audio and video equalizers, filter design, and the general area of signal processing.

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Published

2022-03-21

How to Cite

Chutchavong, V. ., Anuwongpinit, T. ., Purahong, B. ., Archevapanich, T. ., & Janchitrapongvej, K. . (2022). Optimized Gaussian Pulse Design for UWB System Using Particle Swarm Optimization Based-on Generalized Bessel Polynomials. Journal of Mobile Multimedia, 18(04), 1231–1258. https://doi.org/10.13052/jmm1550-4646.18413

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Section

ICEAST 2020

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