Manuscript Title:

INVESTIGATE THE PERFORMANCE OF 16-PHASE SHIFT KEYING (PSK) MODULATION TECHNIQUE IN AWGN ENVIRONMENT WITH AND WITHOUT CHANNEL CODING

Author:

ALI OTHMAN ALBAJI, ROZEHA BT. A. RASHID, ALZHARI ALSHAREEF, AKRAM H. JEBRIL, ABDUSALAMA DAHO, YASEEN HADI ALI

DOI Number:

DOI:10.17605/OSF.IO/P6FTG

Published : 2022-12-10

About the author(s)

1. ALI OTHMAN ALBAJI - Department of Electronics & Telecommunications, The Higher Institute of science & Technology- Suk Algumaa, Tripoli, Libya.
2. ROZEHA BT. A. RASHID - Department of Telecommunication Software and Systems (TeSS) Research Group, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia.
3. ALZHARI ALSHAREEF - Department of Electronic and Telecommunication, National Authority for Technical Education Technical Faculties Administration Engineering Technology Faculty, Libya.
4. AKRAM H. JEBRIL - Department of Communication Engineering, Technical College of Civil Aviation & Meteorology, Esbea, Tripoli, Libya.
5. ABDUSALAMA DAHO - Department of Electrical and Electronic, Sebha University Faculty of Engineering, Sebha, Libya.
6. YASEEN HADI ALI - Department of Computer Techniques Engineering, Telecommunication Software and System, Alsalam University College, Baghdad, Iraq.

Full Text : PDF

Abstract

This paper aims to investigate the performance of 16-Phase Shift Keying (PSK) modulation technique in AWGN environment with and without channel coding. The parameters are chosen to observe the error performance of the system. A first-order error correction results in a maximum absolute phase error from 0dB to 15dB at an IF of up to 400 MHz, without any additional or external adjustments. Using MATLAB Simulink has given us a brief description of how the system is modeled in the MATLAB environment and what parameters are chosen to observe the error performance of the system. Findings showed that the convolutional-coded modulation is more efficient than the uncoded modulation. An increase in the code rate of the encoder increases the BER.


Keywords

PSK, AWGN, Performance, MATLAB, BER.