基于MIMO-OFDM時(shí)間同步用LS算法實(shí)現(xiàn)matlab源碼

ID:201190 · 發(fā)表于 2018-7-3 14:58

基于MIMO-OFDM時(shí)間同步用LS算法實(shí)現(xiàn)Timing-synchronization

matlab源程序如下:

%...................................................................
clear all;
clc;
nloop=100;
SNR_loop = [-10:5:25];
for i = 1:1:length(SNR_loop)
SNR1 = SNR_loop(i);
[n01(i)]=conventional22(SNR1)
pe(i)=(nloop-n01(i))/nloop;
end
pe
grid on;
semilogy(SNR_loop ,pe,'*-- g','Linewidth', 2)
axis([-15 20 0.1 1 ])
hold on;
%................................................................
clear all;
clc;
nloop=100;
SNR_loop = [-10:5:25];
for i = 1:1:length(SNR_loop)
SNR1 = SNR_loop(i);
[n01(i)]=conventional33(SNR1)
pe(i)=(nloop-n01(i))/nloop;
end
pe
grid on;
semilogy(SNR_loop ,pe,'o-- g','Linewidth', 2)
axis([-10 25 0.1 1 ])
hold on;
%................................................................
clear all;
clc;
nloop=100;
SNR_loop = [-10:5:25];
for i = 1:1:length(SNR_loop)
SNR1 = SNR_loop(i);
[n01(i)]=proposed22(SNR1)
pe(i)=(nloop-n01(i))/nloop;
end
pe
grid on;
semilogy(SNR_loop ,pe,'*- r','Linewidth', 2)
axis([-10 25 0.1 1 ])
hold on;
%.........................................................................
clear all;
clc;
nloop=100;
SNR_loop = [-10:5:25];
for i = 1:1:length(SNR_loop)
SNR1 = SNR_loop(i);
[n01(i)]=proposed33(SNR1)
pe(i)=(nloop-n01(i))/nloop;
end
pe
grid on;
semilogy(SNR_loop ,pe,'o- r','Linewidth', 2)
axis([-10 25 0.1 1 ])
hold on;
%................................................................
legend('2*2 conventional time est','3*3 conventional time est','2*2 proposed time est','3*3 proposed time est')
xlabel('SNR dB')
ylabel('right probability of timing estimation')

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