Reputation: 11
How to reconstruct an image from s-parameters in MATLAB ? My dataset are 37 files colleting from 0-360 degree angle (10 degree of increment), all data collected from VNA
I have a set of data which is the s-parameter (s11) for the object rotating from 0-360 degree (10 degree of increment), each dataset consisting of 3 columns (180×3). The first column represents the frequency and the second column is the real of S11, the third column is the imagine of S11. I need to use these data to reconstruct an image using MATLAB but I have no idea how to do it.
% Load and prepare data
num_angles = 36; % Number of angles (0 to 360 with 10-degree increments)
time_domain_signals = [];
for angle_idx = 1:num_angles
filename = sprintf('%d-VF.CSV', (angle_idx-1)*10);
data = readmatrix(filename);
% Extract data
frequency = data(:, 1);
real_S11 = data(:, 2);
imag_S11 = data(:, 3);
% Combine real and imaginary parts into complex S11
S11 = real_S11 + 1i * imag_S11;
% Convert to time-domain using IFFT
time_domain_signal = ifft(S11);
% Store the magnitude
time_domain_signals = [time_domain_signals; abs(time_domain_signal(:))'];
end
% Calculate the total number of elements in time_domain_signals
total_elements = numel(time_domain_signals);
% Set one dimension to [] to automatically calculate based on the number of elements
% Assume that the image is a 2D image; the following sets the number of columns and lets MATLAB calculate the number of rows:
num_columns = 77; % This is just an example, adjust based on data
reconstructed_image = reshape(time_domain_signals, [], num_columns);
% Display the reconstructed image
imagesc(reconstructed_image);
colormap('gray');
colorbar;
title('Reconstructed Image from S11 Data');
xlabel('X-axis');
ylabel('Y-axis');
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