add_training2.m

来自「用Matlab实现空时分组编码对其MIMO系统性能进行分析得出理想的结果」· M 代码 · 共 59 行

function [outdata_block1,outdata_block2,training_sequence1,training_sequence2]=add_training2(data_block1,data_block2,training_length1,training_length2,type)

%   [outdata_block1,outdata_block2,training_sequence1,training_sequence2]=add_training2(data_block1,data_block2,training_length1,training_length2,type)
%
%	Output:
%	outdata_block1,2	    - Training sequence and datablock (symbol-vector)
%   training_sequence1,2    - The training sequences, which also is concatenated in outdata_block1,2 (binary-vector)
%	
%   Input:
%   data_block1,2           - Alamouti-coded symbols (symbol-vector)
%   training_length1,2      - Desired length of training sequences (even integer)
%   type                    - Specifies which kind of training sequence to be added (int 0,1)
%                               if type = 0, a random sequence is used.
%                               if type = 1, Karls homemade train.seq is used.
%
%   Short Theoretical Background for the Function:
%
%   Instead of adding binary training-data to the original data-sequence, 
%   this function adds bpsk symbols after alamouti-coding is performed
%   so that the training-sequence will not be alamouti-coded.
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%     
%%% Function part of simulation for Space-Time
%%% coding project, group Grey-2001.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%   Author: Stefan Uppg錼d
%   Date: 2001-03-19
%   Version: 1.0 (add_training)
%   Revision (Name & Date):
%   2.0 SU  2001-04-04  Adds bpsk-symbols to data. Function supposed to be called
%                       after that Alamouti-coding already has been performed.
%                       This function uses the model parameter and adds two
%                       training-sequences when a 2x? is used.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

home_made_training = [];
for(i=1:30)
    home_made_training = [home_made_training 1];
    home_made_training = [home_made_training zeros(1,i)];
end

% type = 0 -> call for a random training sequence.
if (type==0)
    training_sequence1 = random_training(training_length1);
    training_sequence2 = random_training(training_length2);
elseif (type==1)
    training_sequence1 = home_made_training(1:training_length1); % Warning: Same sequence in
    training_sequence2 = home_made_training(1:training_length2); % both trainings!
else                            
    training_sequence = [];
end % end type == 0

training_sequence1_symb = bpsk(training_sequence1,1);
training_sequence2_symb = bpsk(training_sequence2,1);

outdata_block1 = [training_sequence1_symb zeros(1,training_length2) data_block1];
outdata_block2 = [zeros(1,training_length1) training_sequence2_symb data_block2];