zhinengtianxian.rar_ zhinengtianxian_MATLAB 波束形成_adaptive smart_

clear,clc m=8; % sensors n=2; % sources theta=[-20 0]; % in angle d=1/2; % 1/2 lambada N=100; % samples L=100; % resolution in [-90' 90'] meann=0; % mean of noise varn=1; % variance of noise SNR=10; INR=20; rvar1=sqrt(varn) * 10^(SNR/20); % variance of signal rvar2=sqrt(varn) * 10^(INR/20); % variance of interference % generate the source signals s=[rvar1*exp(j*2*pi*(50*0.001*[0:N-1]+rand)) rvar2*exp(j*2*pi*(100*0.001*[0:N-1]+rand))]; % generate the A matrix A=exp(-j*2*pi*d*[0:m-1].'*sin(theta*pi/180)); % generate the noise component e=sqrt(varn/2)*(randn(m,N)+j*randn(m,N)); % generate the ULA data Y=A*s+e; % compute R R=Y*Y'/N; % inverse of R IR=inv(R); % beamform using the MVDR method a1=A(:,1); w=IR*a1/real(a1'*IR*a1); beam=zeros(1,L); for i = 1 : L a=exp(-j*2*pi*d*[0:m-1].'*sin(-pi/2 + pi*(i-1)/L)); beam(i)=20*log10(abs(w'*a)); end angle=-90:180/L:(90-180/L); plot(angle,beam,'b'); hold on; %***************************************************************** m=8; n=2; theta=[-20 0]; d=1/2; N=100; L=100; meann=0; varn=1; SNR=10; INR=30; rvar1=sqrt(varn) * 10^(SNR/20); rvar2=sqrt(varn) * 10^(INR/20); s=[rvar1*exp(j*2*pi*(50*0.001*[0:N-1]+rand)) rvar2*exp(j*2*pi*(100*0.001*[0:N-1]+rand))]; A=exp(-j*2*pi*d*[0:m-1].'*sin(theta*pi/180)); e=sqrt(varn/2)*(randn(m,N)+j*randn(m,N)); Y=A*s+e; R=Y*Y'/N; IR=inv(R); % beamform using the MVDR method a1=A(:,1); w=IR*a1/real(a1'*IR*a1); beam=zeros(1,L); for i = 1 : L a=exp(-j*2*pi*d*[0:m-1].'*sin(-pi/2 + pi*(i-1)/L)); beam(i)=20*log10(abs(w'*a)); end angle=-90:180/L:(90-180/L); plot(angle,beam,'r'); %**************************************************************** m=8; n=2; theta=[-20 0]; d=1/2; N=100; L=100; meann=0; varn=1; SNR=10; INR=40; rvar1=sqrt(varn) * 10^(SNR/20); rvar2=sqrt(varn) * 10^(INR/20); s=[rvar1*exp(j*2*pi*(50*0.001*[0:N-1]+rand)) rvar2*exp(j*2*pi*(100*0.001*[0:N-1]+rand))]; A=exp(-j*2*pi*d*[0:m-1].'*sin(theta*pi/180)); e=sqrt(varn/2)*(randn(m,N)+j*randn(m,N)); Y=A*s+e; R=Y*Y'/N; IR=inv(R); % beamform using the MVDR method a1=A(:,1); w=IR*a1/real(a1'*IR*a1); beam=zeros(1,L); for i = 1 : L a=exp(-j*2*pi*d*[0:m-1].'*sin(-pi/2 + pi*(i-1)/L)); beam(i)=20*log10(abs(w'*a)); end angle=-90:180/L:(90-180/L); plot(angle,beam,'g'); xlabel('angle'); ylabel('幅度响应/dB'); gtext({'\bf\leftarrowINR=20';'\bf\leftarrowINR=30';'\bf\leftarrowINR=40'})