代码：
Matlab
clc
clear all
B=15;
BER=10^(-4);
K=1.5/(logm(0.2/BER)); SNR=[8,10]; k=log2(1+K.*SNR); r1=10;
r2=12; x=0; y=1; z=1;
% b=[0,0];
% c=x+y*(sum(b));
% p=r.*k.*b-b.*c;
a(1)=0.001;
for i=1:300 a(2)=0.001;
for j=1:300
eigenvalue(1)=1-10/3*(2*a(1)*k(1)-a(1)*k(2)+2*a(2)*k(2)- a(2)*k(1))+10/3*((a(1)*(k(2)-2*k(1))*a(2)*(k(1)-2*k(2))+(2*a(2)*k(2)- a(2)*k(1)-2*a(1)*k(1)+a(1)*k(2))^2)^(0.5));
eigenvalue(2)=1-10/3*(2*a(1)*k(1)-a(1)*k(2)+2*a(2)*k(2)-a(2)*k(1))-10/3*((a(1)*(k(2)-2*k(1))*a(2)*(k(1)-2*k(2))+(2*a(2)*k(2)-a(2)*k(1)-2*a(1)*k(1)+a(1)*k(2))^2)^(0.5));
if (eigenvalue(1)<1)&&(eigenvalue(1)>- 1)&&(eigenvalue(2)<1)&&(eigenvalue(2)>-1)
a(2)=a(2)+0.002;
end
end
if a(2)>0
a(2)=a(2)-0.002;
else
a(2)=0;
end
f2(i)=a(2);
f1(i)=a(1);
a(1)=a(1)+0.002;
end
figure(1)
plot(f1,f2,'--r')
axis([0,0.25,0,0.25])
hold on
B=15;
BER=10^(-4);
K=1.5/(logm(0.2/BER)); SNR=[10,10]; k=log2(1+K.*SNR); r1=10;
r2=12; x=0; y=1; z=1;
% b=[0,0];
% c=x+y*(sum(b));
% p=r.*k.*b-b.*c;
a(1)=0.001;
for i=1:300 a(2)=0.001;
for j=1:300
eigenvalue(1)=1-10/3*(2*a(1)*k(1)-a(1)*k(2)+2*a(2)*k(2)- a(2)*k(1))+10/3*((a(1)*(k(2)-2*k(1))*a(2)*(k(1)-2*k(2))+(2*a(2)*k(2)- a(2)*k(1)-2*a(1)*k(1)+a(1)*k(2))^2)^(0.5));
eigenvalue(2)=1-10/3*(2*a(1)*k(1)-a(1)*k(2)+2*a(2)*k(2)-a(2)*k(1))-10/3*((a(1)*(k(2)-2*k(1))*a(2)*(k(1)-2*k(2))+(2*a(2)*k(2)-a(2)*k(1)-2*a(1)*k(1)+a(1)*k(2))^2)^(0.5));
if (eigenvalue(1)<1)&&(eigenvalue(1)>- 1)&&(eigenvalue(2)<1)&&(eigenvalue(2)>-1)
a(2)=a(2)+0.002;
end
end
if a(2)>0
a(2)=a(2)-0.002;
else
a(2)=0;
end
f2(i)=a(2);
f1(i)=a(1);
a(1)=a(1)+0.002;
end
figure(1)
plot(f1,f2,'-.*b')
axis([0,0.25,0,0.25])
B=15;
BER=10^(-4);
K=1.5/(logm(0.2/BER));
SNR=[10,8]; k=log2(1+K.*SNR); r1=10;
r2=12; x=0; y=1; z=1;
% b=[0,0];
% c=x+y*(sum(b));
% p=r.*k.*b-b.*c;
a(1)=0.001;
for i=1:300 a(2)=0.001;
for j=1:300
eigenvalue(1)=1-10/3*(2*a(1)*k(1)-a(1)*k(2)+2*a(2)*k(2)- a(2)*k(1))+10/3*((a(1)*(k(2)-2*k(1))*a(2)*(k(1)-2*k(2))+(2*a(2)*k(2)- a(2)*k(1)-2*a(1)*k(1)+a(1)*k(2))^2)^(0.5));
eigenvalue(2)=1-10/3*(2*a(1)*k(1)-a(1)*k(2)+2*a(2)*k(2)-a(2)*k(1))-10/3*((a(1)*(k(2)-2*k(1))*a(2)*(k(1)-2*k(2))+(2*a(2)*k(2)-a(2)*k(1)-2*a(1)*k(1)+a(1)*k(2))^2)^(0.5));
if (eigenvalue(1)<1)&&(eigenvalue(1)>- 1)&&(eigenvalue(2)<1)&&(eigenvalue(2)>-1)
a(2)=a(2)+0.002;
end
end
if a(2)>0
a(2)=a(2)-0.002;
else
a(2)=0;
end
f2(i)=a(2);
f1(i)=a(1);
a(1)=a(1)+0.002;
end
figure(1)
plot(f1,f2,'-g')
axis([0,0.25,0,0.25])
B=15;
BER=10^(-4);
K=1.5/(logm(0.2/BER));
SNR=[7,7]; k=log2(1+K.*SNR); r1=10;
r2=12; x=0; y=1; z=1;
% b=[0,0];
% c=x+y*(sum(b));
% p=r.*k.*b-b.*c;
a(1)=0.001;
for i=1:300 a(2)=0.001;
for j=1:300
eigenvalue(1)=1-10/3*(2*a(1)*k(1)-a(1)*k(2)+2*a(2)*k(2)- a(2)*k(1))+10/3*((a(1)*(k(2)-2*k(1))*a(2)*(k(1)-2*k(2))+(2*a(2)*k(2)- a(2)*k(1)-2*a(1)*k(1)+a(1)*k(2))^2)^(0.5));
eigenvalue(2)=1-10/3*(2*a(1)*k(1)-a(1)*k(2)+2*a(2)*k(2)-a(2)*k(1))-10/3*((a(1)*(k(2)-2*k(1))*a(2)*(k(1)-2*k(2))+(2*a(2)*k(2)-a(2)*k(1)-2*a(1)*k(1)+a(1)*k(2))^2)^(0.5));
if (eigenvalue(1)<1)&&(eigenvalue(1)>- 1)&&(eigenvalue(2)<1)&&(eigenvalue(2)>-1)
a(2)=a(2)+0.002;
end
end
if a(2)>0
a(2)=a(2)-0.002;
else
a(2)=0;
end
f2(i)=a(2);
f1(i)=a(1);
a(1)=a(1)+0.002;
end
figure(1)
plot(f1,f2,'-.y')
axis([0,0.25,0,0.25])
B=15;
BER=10^(-4);
K=1.5/(logm(0.2/BER)); SNR=[8,8]; k=log2(1+K.*SNR); r1=10;
r2=12; x=0; y=1; z=1;
% b=[0,0];
% c=x+y*(sum(b));
% p=r.*k.*b-b.*c;
a(1)=0.001;
for i=1:300 a(2)=0.001;
for j=1:300
eigenvalue(1)=1-10/3*(2*a(1)*k(1)-a(1)*k(2)+2*a(2)*k(2)- a(2)*k(1))+10/3*((a(1)*(k(2)-2*k(1))*a(2)*(k(1)-2*k(2))+(2*a(2)*k(2)- a(2)*k(1)-2*a(1)*k(1)+a(1)*k(2))^2)^(0.5));
eigenvalue(2)=1-10/3*(2*a(1)*k(1)-a(1)*k(2)+2*a(2)*k(2)-a(2)*k(1))-10/3*((a(1)*(k(2)-2*k(1))*a(2)*(k(1)-2*k(2))+(2*a(2)*k(2)-a(2)*k(1)-2*a(1)*k(1)+a(1)*k(2))^2)^(0.5));
if (eigenvalue(1)<1)&&(eigenvalue(1)>- 1)&&(eigenvalue(2)<1)&&(eigenvalue(2)>-1)
a(2)=a(2)+0.002;
end
end
if a(2)>0
a(2)=a(2)-0.002;
else
a(2)=0;
end
f2(i)=a(2);
f1(i)=a(1);
a(1)=a(1)+0.002;
end
figure(1)
plot(f1,f2,'om')
axis([0,0.25,0,0.25])
legend('r1=8dB,r2=10dB','r1=10dB,r2=10dB','r1=10dB,r2=8dB','r1=7dB,r2=7dB','r1=8dB,r2=8dB')
xlabel('a1')
ylabel('a2')结果：
