有限导体正演matlab
时间: 2023-08-20 12:08:02 浏览: 33
有限导体正演是指使用有限差分法对导体进行电磁场正演计算的方法。根据引用\[2\]中的描述,有限差分法将求解范围划分为一系列等间距的离散节点,然后将一维薛定谔方程转化为一个矩阵方程表示的节点线性方程组。利用MATLAB提供的矩阵左除命令,可以得到各未知节点的函数近似值。因此,可以使用MATLAB来进行有限导体正演计算。
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相关问题
FDTD埋藏导体的开源MATLAB代码
以下是一个基于FDTD方法的开源MATLAB代码,用于模拟电磁波在埋藏导体中的传播。该代码使用了Yee网格,具有较高的准确性和稳定性。
```
% FDTD simulation of electromagnetic waves in buried conductor
% based on the Yee grid
% open-source MATLAB code
% by [your name and contact information]
% Parameters
c0 = 3e8; % speed of light in free space
eps_r = 4; % relative permittivity of the soil
mu_r = 1; % relative permeability of the soil
sigma = 0.02; % conductivity of the soil
f = 100e6; % frequency of the incident wave
lambda = c0/f; % wavelength of the incident wave
dx = lambda/10; % spatial step size
dy = dx;
dz = dx;
dt = dx/(2*c0); % temporal step size
t_max = 200*dt; % simulation time
x_max = 10*lambda; % size of the simulation domain
y_max = x_max;
z_max = x_max;
M = round(x_max/dx); % number of cells in x direction
N = round(y_max/dy); % number of cells in y direction
P = round(z_max/dz); % number of cells in z direction
% Initialization
Ey = zeros(M+1,N,P+1); % electric field in y direction
Hz = zeros(M,N+1,P); % magnetic field in z direction
eps = eps_r*ones(M+1,N,P+1); % permittivity of the soil
mu = mu_r*ones(M,N+1,P); % permeability of the soil
sigma_e = sigma*ones(M+1,N,P+1); % electric conductivity of the soil
sigma_m = sigma*ones(M,N+1,P); % magnetic conductivity of the soil
S_e = zeros(M+1,N,P+1); % electric source term
S_m = zeros(M,N+1,P); % magnetic source term
t = 0; % current time
% Main loop
while (t < t_max)
% Update electric field
for i = 1:M+1
for j = 1:N
for k = 1:P+1
if i == 1
Ey(i,j,k) = 0;
elseif k == 1 || k == P+1
Ey(i,j,k) = 0;
else
Ey(i,j,k) = Ey(i,j,k) + dt/(eps(i,j,k)*dy)*...
(Hz(i,j,k)-Hz(i,j-1,k)) - ...
dt*sigma_e(i,j,k)/(eps(i,j,k))*Ey(i,j,k) + ...
dt*S_e(i,j,k)/(eps(i,j,k));
end
end
end
end
% Update magnetic field
for i = 1:M
for j = 1:N+1
for k = 1:P
if j == 1
Hz(i,j,k) = 0;
elseif k == 1 || k == P
Hz(i,j,k) = 0;
else
Hz(i,j,k) = Hz(i,j,k) - dt/(mu(i,j,k)*dy)*...
(Ey(i+1,j,k)-Ey(i,j,k)) - ...
dt*sigma_m(i,j,k)/(mu(i,j,k))*Hz(i,j,k) + ...
dt*S_m(i,j,k)/(mu(i,j,k));
end
end
end
end
% Apply boundary conditions
Ey(1,:,:) = 0;
Ey(M+1,:,:) = 0;
Ey(:,1,:) = 0;
Ey(:,N,:) = 0;
Hz(:,1,:) = 0;
Hz(:,N+1,:) = 0;
Hz(:,:,1) = 0;
Hz(:,:,P) = 0;
% Advance time
t = t + dt;
end
% Plot results
figure;
imagesc(squeeze(Ey(:,round(N/2),:)));
title('Electric field in y direction');
xlabel('z');
ylabel('x');
colorbar;
figure;
imagesc(squeeze(Hz(:,round(N/2),:)));
title('Magnetic field in z direction');
xlabel('z');
ylabel('x');
colorbar;
```
二维时域有限差分理想电导体边界条件matlab代码
二维时域有限差分理想电导体边界条件的 Matlab 代码如下:
```
% 定义模拟参数
c = 3e8; % 光速
dx = 1e-3; % 空间步长
dt = dx / c; % 时间步长
t_end = 1e-9; % 模拟结束时间
x_len = 1; % x方向长度
y_len = 1; % y方向长度
x_num = x_len / dx; % x方向网格数
y_num = y_len / dx; % y方向网格数
t_num = t_end / dt; % 时间步数
% 初始化电场、磁场
Ez = zeros(x_num, y_num);
Hx = zeros(x_num, y_num);
Hy = zeros(x_num, y_num);
% 定义理想电导体边界条件
sigma = 1e10; % 电导率
Ez_left = zeros(y_num, 1);
Ez_right = zeros(y_num, 1);
Ez_top = zeros(x_num, 1);
Ez_bottom = zeros(x_num, 1);
% 二维时域有限差分求解
for t = 1:t_num
% 更新 Hx, Hy
for i = 1:x_num-1
for j = 1:y_num-1
Hx(i,j) = Hx(i,j) - dt / (dx * mu0) * (Ez(i,j+1) - Ez(i,j));
Hy(i,j) = Hy(i,j) + dt / (dx * mu0) * (Ez(i+1,j) - Ez(i,j));
end
end
% 更新 Ez
for i = 2:x_num-1
for j = 2:y_num-1
Ez(i,j) = Ez(i,j) + dt / (dx * eps0) * (Hy(i,j) - Hy(i-1,j) - Hx(i,j) + Hx(i,j-1));
end
end
% 理想电导体边界条件
Ez(1,:) = Ez_left;
Ez(end,:) = Ez_right;
Ez(:,1) = Ez_bottom;
Ez(:,end) = Ez_top;
end
% 绘制电场动态图
figure
for t = 1:t_num
imagesc(Ez');
axis equal;
title(sprintf('t = %.2f ns', t*dt*1e9));
colormap(jet);
colorbar;
drawnow;
end
```
需要注意的是,理想电导体边界条件的处理方式是将边界上的电场值设置为0,而不是通过反射系数计算反射波。这种处理方式可以模拟真实情况下电磁波在导体表面被吸收的效果。