Research on Spectrum Optimization Technology for a Wireless Communication System

In this study, the principle of minimum spectral energy leakage is applied, and the mathematical model is also established by the general function through adding different constraints. To allow the target baseband signal to have a high-quality time-domain representation, it is assumed that the baseb...

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Main Authors: Mingxin Liu, Wei Xue, Peisong Jia, Sergey B. Makarov, Beiming Li
Format: Article
Language:English
Published: MDPI AG 2019-12-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/12/1/34
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spelling doaj-b4893b3384d04625b91cc4c062e301972020-11-25T02:18:24ZengMDPI AGSymmetry2073-89942019-12-011213410.3390/sym12010034sym12010034Research on Spectrum Optimization Technology for a Wireless Communication SystemMingxin Liu0Wei Xue1Peisong Jia2Sergey B. Makarov3Beiming Li4College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, ChinaInstitute of Physics, Nanotechnology and Telecommunications, St. Petersburg State Polytechnical University, 195251 St. Petersburg, RussiaCollege of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, ChinaIn this study, the principle of minimum spectral energy leakage is applied, and the mathematical model is also established by the general function through adding different constraints. To allow the target baseband signal to have a high-quality time-domain representation, it is assumed that the baseband signal is an even function. The time-domain waveform has symmetry about the y-axis, and the objective function is obtained by Fourier series approximation. The frequency-domain characteristics of the baseband signals are obtained by adding the energy limitation condition and the boundary restriction condition. Limit a point at the appropriate position of the main lobe of the normalized energy spectral density function, and at the same time, limit the appropriate point at the first side lobe. The changes of the points modified the whole characteristic of the frequency-domain. To more conveniently compare the characteristics of the signal under different constraints, according to the symmetry of the frequency-domain of the signal, the normalized energy spectrum main lobe energy ratio is defined as a parameter, and thereby the spectral performance of the signal is discriminated by the size of this parameter. Through comparative analysis, the signal with the frequency-domain restriction conditions added has a larger normalized energy spectrum main lobe energy ratio. With increasing roll-off factor <i>n</i>, the energy ratio of the main energy spectrum of the normalized spectrum increases accordingly, i.e., the energy leakage is effectively suppressed. The baseband signal can be considered more suitable as a modern wireless communication system and can be obtained by adding a suitable restriction condition and establishing a model with a general function.https://www.mdpi.com/2073-8994/12/1/34baseband signaloptimization methodspectrum limiting methodnormalized main lobe energy ratiospectral efficiency
collection DOAJ
language English
format Article
sources DOAJ
author Mingxin Liu
Wei Xue
Peisong Jia
Sergey B. Makarov
Beiming Li
spellingShingle Mingxin Liu
Wei Xue
Peisong Jia
Sergey B. Makarov
Beiming Li
Research on Spectrum Optimization Technology for a Wireless Communication System
Symmetry
baseband signal
optimization method
spectrum limiting method
normalized main lobe energy ratio
spectral efficiency
author_facet Mingxin Liu
Wei Xue
Peisong Jia
Sergey B. Makarov
Beiming Li
author_sort Mingxin Liu
title Research on Spectrum Optimization Technology for a Wireless Communication System
title_short Research on Spectrum Optimization Technology for a Wireless Communication System
title_full Research on Spectrum Optimization Technology for a Wireless Communication System
title_fullStr Research on Spectrum Optimization Technology for a Wireless Communication System
title_full_unstemmed Research on Spectrum Optimization Technology for a Wireless Communication System
title_sort research on spectrum optimization technology for a wireless communication system
publisher MDPI AG
series Symmetry
issn 2073-8994
publishDate 2019-12-01
description In this study, the principle of minimum spectral energy leakage is applied, and the mathematical model is also established by the general function through adding different constraints. To allow the target baseband signal to have a high-quality time-domain representation, it is assumed that the baseband signal is an even function. The time-domain waveform has symmetry about the y-axis, and the objective function is obtained by Fourier series approximation. The frequency-domain characteristics of the baseband signals are obtained by adding the energy limitation condition and the boundary restriction condition. Limit a point at the appropriate position of the main lobe of the normalized energy spectral density function, and at the same time, limit the appropriate point at the first side lobe. The changes of the points modified the whole characteristic of the frequency-domain. To more conveniently compare the characteristics of the signal under different constraints, according to the symmetry of the frequency-domain of the signal, the normalized energy spectrum main lobe energy ratio is defined as a parameter, and thereby the spectral performance of the signal is discriminated by the size of this parameter. Through comparative analysis, the signal with the frequency-domain restriction conditions added has a larger normalized energy spectrum main lobe energy ratio. With increasing roll-off factor <i>n</i>, the energy ratio of the main energy spectrum of the normalized spectrum increases accordingly, i.e., the energy leakage is effectively suppressed. The baseband signal can be considered more suitable as a modern wireless communication system and can be obtained by adding a suitable restriction condition and establishing a model with a general function.
topic baseband signal
optimization method
spectrum limiting method
normalized main lobe energy ratio
spectral efficiency
url https://www.mdpi.com/2073-8994/12/1/34
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AT peisongjia researchonspectrumoptimizationtechnologyforawirelesscommunicationsystem
AT sergeybmakarov researchonspectrumoptimizationtechnologyforawirelesscommunicationsystem
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