?? user1sym.m
字號:
function output=user1sym()
%**************************************************************************
%*************************************************************************
%//input signal form transmitter side for symbol based\\
clear all;
close all;
clc;
us=1;
nb1=5;
m1=[ 1 0 1 1 1];
%//message1 into polar form\\
for i=1:nb1
if m1(i)==1
mb1(i)=m1(i);
else
mb1(i)=-1;
end
end
% disp(mb1);
%//generation of maximal length sequence1\\
f1=1;f2=1;f3=0;f4=0;f5=1;
m=(2^5)-1;
for j=1:m
p=xor(f2,f5);
f5=f4;
op1(j)=f5;
f4=f3;
f3=f2;
f2=f1;
f1=p;
end
%disp(op1);
%//msequence1 into polar form\\
for i=1:31
if op1(i)==1
pb1(i)=1;
else
pb1(i)=-1;
end
end
%disp(op1);
%disp(pb1);
%//spreading signals from transmitter side\\
%//first transmit bit\\
k=1;
for i=1:nb1
for j=1:31
tb1(k)=mb1(i)*pb1(j);
k=k+1;
end
end
%disp(tb1);
%//%receiver side\\
%//reconstruction of user1 signal\\
s2=0;
t2=1;
for i=0:31:k-32
for j=1:31
ob2(t2)=tb1(i+j)*pb1(j)+s2;
s2=ob2(t2);
if ob2(t2)>0
ob2(t2)=1;
else ob2(t2)=0;
end
end
t2=t2+1;
s2=0;
end
%disp(' message is')
%disp(ob2);
n1=awgn(ob2,10);
figure(1);
grid on;
subplot(2,1,1);
plot(ob2);
title('Received signal with out noise for SB (single user)');
xlabel('Time');
ylabel('Amplitude');
%g=awgn(ob2,10);
%disp(g);
subplot(2,1,2);
plot(n1);
title('Received signal with noise for SB (single user)');
xlabel('Time');
ylabel('Amplitude');
%//reconstruction of received signal from noise\\
for i=1:nb1
if n1(i)>0
g2(i)=1;
else g2(i)=0;
end
end
% disp(g2);
% //calculating optimum weight using minimum variance\\
ob=randint(1,31);
q=length(10);
%q1=input('enter the sequence');
s=randsrc(1,q);
c1=complex(ob,s);
%disp(c);
d=conj(c1);
d1=d*d';
%disp(d1);
m=mean(d1);
lamda=5;
teta=45;
k=((2*pi)/lamda);
K=4;
for i=0:K-1
v=(exp(j*k*i*d*sin(teta)))';
end
%disp(v);
v1=conj(v)';
teta=30;
k=((2*pi)/lamda);
K=5;
for i=0:K-1
eta=exp(sqrt(-1)*k*i*d*sin(teta))';
end
%u1=[2+2j 3-1j 4+3j 5+2j]'
%m=randsrc(1,124);
%a=randsrc(1,124);
l=length(10);
%l1=input('enter the sequence');
u1=complex(ob,l);
u=eta*u1;
u2=conj(u)';
u3=u*u2;
Ru=mean(u3);
%Ru1=imresize(Ru,[124 124]);
%a1=inv(Ru1);
%a1=Ru1';
a1=Ru';
%disp(a1);
%calculating beta value
%g=1;
dem1=v*v1*a1;
beta1=dem1.^-1;
%optimum weight
%Wopt=beta*a1*v';
temp1=beta1*v';
Wopt1=temp1*a1;
%disp(Wopt1);
% subplot(2,2,3);
% plot(Wopt1);
% title('Received signal with optimum weight for SB');
% xlabel('Time');
% ylabel('weight');
%//beamformer output\\
o1=conj(Wopt1)*ob2;
%disp('Beamformer output for SB')
%disp(o1);
% subplot(2,2,4);
% plot(o1);
% title('Beamformer output for SB');
% xlabel('Time');
% ylabel('Beam former output');
%//SINR CALCULATION FOR SB CONFIGURATION\\
%s=length(m2);
%q1=input('enter the sequence');
s=randsrc(1,q);
c=complex(ob2,s);
hop1=conj(pb1)';
hob1=conj(c)';
nr3=hop1*hob1';
sum2=nr3'*Wopt1;
%disp('sum2');
%disp(sum2);
cm2=sum2'*sum2;
signal1=mean(cm2);
%disp('cm2');
%disp(cm2);
hop2=conj(pb1)';
hx2=conj(n1)';
nr5=hop2*hx2';
sum3=nr5'*Wopt1;
%disp('sum');
%disp(sum);
cm3=sum3'*sum3;
noise1=mean(cm3);
%disp('cm3');
%disp(cm3);
SSINR=signal1/noise1;
disp('SSINR');
disp(SSINR);
%//GRAPH FOR DOA VERSUS SINR\\
DOA=-80:10:80;
figure(4);
plot(DOA,SSINR,'B-*');
title('simulation for DOA versus SSINR');
xlabel('DOA in degree');
ylabel('SINR in db');
%// BER CALCULATION FOR SB CONFIGURATION\\
k1=biterr(m1,g2);
output=k1;
disp('biterror rate for Sb configuration');
disp(k1);
%//GRAPH FOR NUMBER USERS VERSUS BER\\
figure(5);
plot(us,k1,'R-*');
title('simulation for NUMBER USERS VERSUS BER SYMBOL BASED) ');
xlabel('NUMBER USERS');
ylabel('BER');
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