Waveform Design of UNB Modulation and Performance Analysis

To improve the spectrum efficiency and alleviate scarcity, ultra-narrow band (UNB) technique is proposed with high bandwidth efficiency and low bit error rate (BER). In this paper, the waveform design schemes, which are sine amplitude modulation (AM-sine), dual-frequency amplitude modulation (DFAM)...

Full description

Saved in:
Bibliographic Details
Published inCommunications and Networking Vol. 236; pp. 84 - 94
Main Authors Duan, Aoqin, Du, Qinghe, Sun, Bo
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2018
Springer International Publishing
SeriesLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:To improve the spectrum efficiency and alleviate scarcity, ultra-narrow band (UNB) technique is proposed with high bandwidth efficiency and low bit error rate (BER). In this paper, the waveform design schemes, which are sine amplitude modulation (AM-sine), dual-frequency amplitude modulation (DFAM) and constant modulus dual-frequency (CMDF) modulation for wireless communication networks employing UNB technique, are proposed. We investigate the Euclidean distance of binary modulated signals for UNB communication under the bandwidth restriction compared to very-minimum waveform difference keying (VWDK). We derive the simplicity to optimize our proposed schemes by introducing sine-like signal. By applying the concavity optimization theory, we get more smooth phase waveform than VWDK. We formulate the optimization problem to minimize the average BER subject to these conditions, one is the Euclidean distance between modulated signals and carrier signal, the other one is the signal energy. Simulation results are provided to show the superiority of our proposed schemes as compared to VWDK.
Bibliography:Supported by the National Natural Science Foundation of China under the Grant No. 61461136001, the National Natural Science Foundation of China under the Grant No. 61671371, Science and Technology Program of Shaanxi Province under the Grant No. 2016KW-032, the ZTE Industry Academic Research Cooperation Fund and the undamental Research Funds for the Central Universities.
ISBN:3319781294
9783319781297
ISSN:1867-8211
1867-822X
DOI:10.1007/978-3-319-78130-3_10