📄 gsm_mod.m
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function [ tx_burst , I , Q ] = gsm_mod(Tb,OSR,BT,tx_data,TRAINING)% GSM_MOD: This MatLab code generates a GSM normal burst by% combining tail, ctrl, and training sequence bits with% two bloks of random data bits.% The data bits are convolutional encoded according% to the GSM recommendations% The burst sequence is differential encoded and then% subsequently GMSK modulated to provide oversampled% I and Q baseband representations.%% SYNTAX: [ tx_burst , I , Q ] = gsm_mod(Tb,OSR,BT,tx_data,TRAINING)%% INPUT: Tb: Bit time, set by gsm_set.m% OSR: Oversampling ratio (fs/rb), set by gsm_set.m% BT: Bandwidth Bittime product, set by gsm_set.m% tx_data: The contents of the datafields in the burst to be% transmitted. Datafield one comes first.% TRAINING: The Training sequence which is to be inserted in the% burst.% % OUTPUT:% tx_burst: The entire transmitted burst before differential% precoding.% I: Inphase part of modulated burst.% Q: Quadrature part of modulated burst.%% WARNINGS: No interleaving or channel coding is done, and thus the % GSM recommadations are violated. Data simulations done using% this format can only be used for predicting Class II performance.%% AUTHOR: Jan H. Mikkelsen / Arne Norre Ekstr鴐% EMAIL: hmi@kom.auc.dk / aneks@kom.auc.dk%% $Id: gsm_mod.m,v 1.10 1997/12/17 15:29:27 aneks Exp $% GENERATE BURST SEQUENCE (THIS IS ACTUALLY THE MUX).%tx_burst = burst_g(tx_data,TRAINING);% DIFFERENTIAL ENCODING.%burst = diff_enc(tx_burst);% GMSK MODULATION OF BURST SEQUENCE%[I,Q] = gmsk_mod(burst,Tb,OSR,BT);
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