Constellation and Mapping Optimization of APSK Modulations used in DVB-S2
Journal Title: Engineering, Technology & Applied Science Research - Year 2014, Vol 4, Issue 5
Abstract
This article represents the algorithms of APSK constellation and mapping optimization. The dependencies of the symbol error probability Ps on the parameters of the 16APSK and 32APSK constellations are examined and several options that satisfy the requirements to the minimum value of Ps are selected. Mapping optimization is carried out for the selected APSK constellations. BER characteristics of the satellite DVB-S2 channels are represented when using optimized and standard 16APSK and 32APSK constellations and a comparative analysis of the results achieved is made.
Authors and Affiliations
L. Jordanova, L. Laskov, D. Dobrev
The Role of Export Entrepreneurship Effective Factors in Export Performance
This research aims to investigate the role of export entrepreneurship effective factors in export performance. Research statistical population contains sales managers and top managers working in manufacturing companies o...
Study and Simulation of the Density of the Incident Solar Flux on the Walls of a Building in Adrar, Algeria
In this work, we studied the effect of external climatic conditions on the evolution of the daily solar flux incident on the walls of a building located at Adrar region in the South of Algeria. This building is designed...
A Hydrological Response Analysis Considering Climatic Variability: Case Study of Hunza Catchment
The hydrological response of mountainous catchments particularly dependent on melting runoff is very vulnerable to climatic variability. This study is an attempt to assess hydrological response towards climatic variabili...
An Assessment of Students’ Satisfaction Level from Learning Management Systems: Case Study of Payamnoor and Farhangian Universities
Learning Management Systems (LMS) have played a significant role in education. The purpose of this study is to investigate the acceptance level of LMS amongst students of two Universities in Tehran, Payamnoor and Farhang...
A Comparative Analysis of Classification Algorithms on Diverse Datasets
Data mining involves the computational process to find patterns from large data sets. Classification, one of the main domains of data mining, involves known structure generalizing to apply to a new dataset and predict it...