add_training.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 55 行

function [outdata_block,training_sequence]=add_training(data_block,training_length,type)

%   [outdata_block,training_sequence]=add_training(data_block,training_length,type)
%
%	Output:
%	outdata_block	    - Training sequence and datablock (symbol-vector)
%   training_sequence   - The first training sequence, which also is concatenated in outdata_block (binary-vector)
%	
%   Input:
%   data_block          - Alamouti-coded symbols. (symbol-vector)
%   training_length     - Desired length of training sequence (even int)
%   type                - Specifies which kind of training sequence to be added (int 0,1)
%                           if type = 0, a random sequence 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
%   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_sequence = random_training(training_length);
elseif (type==1)
    training_sequence = home_made_training(1:training_length); 
else                            
    training_sequence = [];
end % type == 0

training_sequence_symb = bpsk(training_sequence,0);

outdata_block = [training_sequence_symb data_block];