tailieunhanh - Satellite Communications Part 7

Tham khảo tài liệu 'satellite communications part 7', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | Design and Simulation of a DVB-S2-like Adaptive Air interface Designed for Low Bit Rate Emergency Communications Satellite Link in Ku Ka Q V Bands 171 4. Integrated simulation platform General description A software model of the enhanced DVB-S2 transmission link was developed in mixed standard C and Java languages within an open source software environment called Juzzle SILICOM . The whole simulation platform is an integrated Excel Matlab Juzzle software package which also implements the C DISLIN Michels 2008 data plotting library. GSL GNU scientific library Galassi 2008 could also be incorporated in a future revision of the simulator. The former library is a set of C subroutines and functions that are used to display data graphically as post-processing functions within Juzzle whereas the latter is a collection of routines written from scratch in C for numerical computing. These routines present a modern Applications Programming Interface API for C programmers allowing wrappers to be written for very high level languages. The philosophy of the integrated simulation platform tool is as follows Step 1 The user has the possibility of tuning the values of all the parameters of the point-to-point link budget in the Excel sheet including the detailed characteristics of the terminals location EIRP transmit power etc. the operating frequency band and the DVB-S2 physical layer parameters modem roll-off type of PLFRAME etc. . Once the system parameters have been validated an Excel macro enables to create all the system and transmission parameters input files that feed both an off-line propagation pre-processing Matlab routine and the Juzzle core component. Step 2 The offline pre-processing propagation module written in C must be run in order to generate the needed attenuation time series for the return link in Ka and EHF bands using the enhanced stochastic Maseng-Bakken model developed by Lacoste and Carrié Lacoste 2005 Lacoste et al. 2005 Castanet et al. 2008 Carrié et

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