scholarly journals Simulasi Sinkronisasi Carrier pada Modulasi Digital menggunakan Matlab

2014 ◽  
Vol 2 (2) ◽  
pp. 100
Author(s):  
DWI ARYANTA ◽  
ARSYAD RAMADHAN DARLIS ◽  
WIRDA SRI FARHANI
Keyword(s):  
Carrier Phase ◽  
Communication Systems ◽  
Digital Communication ◽  
Similar Data ◽  
Receiver Side ◽  
Carrier Synchronization ◽  
Phase Recovery ◽  
Recovery Method ◽  
Qam Modulation ◽  
Digital Communication Systems

ABSTRAKDalam sistem komunikasi digital, salah satu manfaat teknik pengkodean adalah sebagai efisiensi bandwidth. Pada kanal komunikasi, adanya noise akan mengganggu dan  menurunkan kinerja sistem komunikasi digital. Hal ini menyebabkan terjadinya kesalahan pendeteksian sinyal pembawa, yang mengakibatkan terjadi perubahan bit atau simbol pada sisi penerima. Untuk mengurangi kesalahan deteksi, maka dibutuhkan suatu mekanisme sinkronisasi carrier di sisi penerima untuk mendapatkan data yang serupa dengan data yang dikirim. Simulasi sinkronisasi carrier pada penelitian ini menggunakan metode carrier phase recovery pada modulasi digital M-PSK dan M-QAM dengan level modulasi 4 sampai dengan 32, menggunakan software Matlab versi 7.9. Hasil pengujian sistem yang telah dilakukan pada Eb/No dengan rentang 0 hingga 30 dB menunjukkan, adanya peningkatan kinerja sistem pada modulasi M-PSK dari 0,01352 sampai dengan 0,8546, dan pada modulasi M-QAM dari 0,0256  sampai dengan 0,7867.Kata Kunci: M-PSK, M-QAM, Kanal AWGN, BER, Eb/No, Phase RecoveryABSTRACTThe digital communication systems, one of the benefits coding techniques are as bandwidth efficiency. The communication channel, the presence of noise will disrupt and degrade the performance of digital communication systems. This leads to error detection of the carrier, resulting in a change of bits or symbols at the receiver side. To reduce the detection error, there is a need carrier synchronization at the receiver side to obtain similar data with the data sent. Simulation of carrier synchronization in this study using the carrier phase recovery method in digital modulation M-PSK and M-QAM modulation with levels 4 to 32, using Matlab software version 7.9. The results of system testing has been done on the Eb / No ranging from 0 to 30 dB shows, an increase in the performance of the system on the M-PSK modulation from 0.01352 to 0.8546, and the M-QAM modulation from 0.0256 to 0 , 7867. Keywords: M-PSK, M-QAM, AWGN Channel, BER, Eb/No, Phase Recovery

scholarly journals Carrier Phase Recovery for Optical Coherent M-QAM Communication Systems Using Harmonic Decompositionbased Maximum Loglikelihood Estimators

2015 ◽  
Author(s):  
Trung-Hien Nguyen ◽  
Michel Joindot ◽  
Pascal Scalart ◽  
Mathilde Gay ◽  
Laurent Bramerie ◽  
...  
Keyword(s):  
Carrier Phase ◽  
Communication Systems ◽  
Phase Recovery

Effects of Deep Learning Technologies on Employment in the Field of Digital Communication Systems

2021 ◽  
Vol 12 (4) ◽  
pp. 35-42
Author(s):  
Thomas Alan Woolman ◽  
Philip Lee
Keyword(s):  
Artificial Intelligence ◽  
Deep Learning ◽  
Communication Systems ◽  
Digital Communication ◽  
The United States ◽  
Learning Technologies ◽  
Technological Unemployment ◽  
Current State ◽  
Challenges And Opportunities ◽  
Digital Communication Systems

There are significant challenges and opportunities facing the economies of the United States in the coming decades of the 21st century that are being driven by elements of technological unemployment. Deep learning systems, an advanced form of machine learning that is often referred to as artificial intelligence, is presently reshaping many aspects of traditional digital communication technology employment, primarily network system administration and network security system design and maintenance. This paper provides an overview of the current state-of-the-art developments associated with deep learning and artificial intelligence and the ongoing revolutions that this technology is having not only on the field of digital communication systems but also related technology fields. This paper will also explore issues and concerns related to past technological unemployment challenges, as well as opportunities that may be present as a result of these ongoing technological upheavals.

Performance Analysis of Digital Communication Systems Over $\alpha$ -$\kappa$ -$\mu$ Fading Channels

2019 ◽  
Vol 23 (1) ◽  
pp. 192-195 ◽  
Author(s):  
Jules M. Moualeu ◽  
Daniel B. da Costa ◽  
Walaa Hamouda ◽  
Ugo S. Dias ◽  
Rausley A. A. de Souza
Keyword(s):  
Performance Analysis ◽  
Fading Channels ◽  
Communication Systems ◽  
Digital Communication ◽  
Digital Communication Systems
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