Open AccessStudy the Effect of Spreading Factor value on the Performance of Chaotic Modulation Schemes
Author(s) -
Suha Abdulrahman,
Atheer A. Sabri,
Faez Fawwaz Shareef
Publication year - 2018
Publication title -
al-maǧallaẗ al-ʻirāqiyyaẗ li-handasaẗ al-ḥāsibāt wa-al-ittiṣālāt wa-al-sayṭaraẗ wa-al-naẓm
Language(s) - English
Resource type - Journals
eISSN - 2617-3352
pISSN - 1811-9212
DOI - 10.33103/uot.ijccce.18.3.5
Subject(s) - chaotic , computer science , modulation (music) , bit error rate , additive white gaussian noise , phase shift keying , channel (broadcasting) , electronic engineering , telecommunications , physics , engineering , acoustics , artificial intelligence
High data rate and bandwidth efficiency are the requirements of modernwireless systems. Most studies introduce different ways to develop communication systems to meet these requirements. The researches in the last few years focused on the chaotic system as a chaotic modulation due to its nature. So that the performances of various chaotic modulation schemes (Initial Condition Modulation (ICM) and Chaotic Shift Keying (CSK)) in terms of bit error rate (BER), for different spreading factors are implemented in this article and simulated using MATLAB 2016b simulation. The main objective of this paper is to make a comparison of various chaotic modulation schemes under AWGN channel and study the effect of the spreading factor (β) on the performance of different chaotic modulation schemes, where the spreading factor (β) is the number of generated chaotic signal samples during the bit period (Tb). Different values of spreading factor (12,16, 20, 40, 60, 80, and 100) samples are selected to implement various chaotic modulation schemes. The results show that the spreading factor value of (100) achieves good performance for all types of chaotic modulation schemes which are implemented here. Increasing the value of spreading factor over (100) such as (120, 140, and 180) will add a little bit enhancement to the system, whilst the processing time will increase dramatically.