資源簡介
通過二者的CRB性能比較,極化敏感陣列較傳統標量陣列具有更大的參數估計性能潛力,再次論證了極化敏感陣列信號處理研究的重要性。
代碼片段和文件信息
%?Code?function:?the?performance?analysis?of?diversely?polarization?array
%?Code?writer:?Borne?Zhang
%?Date:?2012-04-23
%?scalar-sensor?array‘s?steering?vector?matrix:?As
%?vector-sensor?array‘s?steering?vector?matrix:?A
%-----clc?&?clear?all-----%
clc;
clear?all;
%-----the?partial?differentiation?of?As-----%
N=6;
M=2;
lamda=1;
d=0.25*lamda;
syms?theta1?theta2?gama1?gama2;
phi=90*(pi/180);
eta=0*(pi/180);
as_1=exp(1i*2*pi*d*(0:(N-1)).‘*sin(theta1)*sin(phi)/lamda);
as_2=exp(1i*2*pi*d*(0:(N-1)).‘*sin(theta2)*sin(phi)/lamda);
As=[as_1as_2];
As_theta_1=diff(Astheta1);
As_theta_2=diff(Astheta2);
As_theta=As_theta_1+As_theta_2;
%-----the?partial?differentiation?of?A------%
Lh=diag([cos(gama1)cos(gama2)]);
Lv=diag([sin(gama1)sin(gama2)]);
Qp=1i*diag([1-11-11-1]);
A=As*Lh+Qp*As*Lv;
A_theta=diff(Atheta1)+diff(Atheta2);
A_gama=diff(Agama1)+diff(Agama2);
%-----CRB?for?scalar-sensor?array-----%
K=1;
Pn=1;
SNR=0:5:20;
CRB_scalar=zeros(1length(SNR));
CRB_vector=zeros(1length(SNR));
for?s=1:length(SNR)
Ps=Pn*10^(0.1*SNR(s));
Rss=Ps*eye(MM);
As=subs(As{theta1theta2}{015*(pi/180)});
Rxx=As*Rss*As‘+Pn*eye(NN);
As_theta=subs(As_the
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