Hello Rohitashya,
I understand that you are trying to simulate a scenario where a transmitter is transmitting a continuous rectangular pulse wave to 4 target receivers, and you want to visualize the phase delayed signals received by 60 hydrophones near the transmitter. I see that you have written MATLAB code for this purpose. However, you mentioned that there is no output.
In fact the waterfall diagram of the phase delayed signals received by 60 hydrophones near the transmitter with respect to time is generated, but takes more time to get rendered. To speed up the rendering of the figure, you can consider the following optimizations in your MATLAB code:
- Reduce Data Size: If possible, reduce the size of the data being visualized. This can be achieved by down-sampling the data or reducing the number of samples in the plot.
- Use Lower-Level Plotting Functions: For large datasets, consider using lower-level plotting functions such as "surf" or "mesh" instead of "waterfall". These functions may offer better performance for large datasets
. - Hardware Acceleration: Take advantage of hardware acceleration by ensuring that your MATLAB installation is properly configured to use the available graphics hardware. You can check and adjust these settings in the MATLAB preferences or settings.
- Use OpenGL Renderer: MATLAB provides different rendering options. You can switch to the OpenGL renderer, which can often lead to better performance for complex plots. This can be done using the "opengl function"
. - Update Graphics Drivers: Ensure that your system has up-to-date graphics drivers installed. Outdated drivers can significantly impact graphics performance.
- Use MATLAB Compiler: If you are running MATLAB code as a standalone application, consider using the MATLAB Compiler to create a standalone executable. This can improve performance by optimizing the rendering process
.
Below is an alternative way to visualize your result using "mesh" function on a size-reduced data.
% Parameters
c = 3e8; % speed of light
f = 3e9; % frequency
lambda = c/f; % wavelength
T = 1e-6; % pulse duration
Fs = 3*f; % reduced sampling frequency
t = 0:1/Fs:T; % time vector
pulse = rectpuls(t, T); % rectangular pulse
% Transmitter and receiver positions
r = [100, 200, 300, 400]; % distances of receivers from transmitter
phi = [0, pi/2, pi, 3*pi/2]; % angles of receivers from transmitter
x_r = r.*cos(phi); % x-coordinates of receivers
y_r = r.*sin(phi); % y-coordinates of receivers
% Hydrophone positions
N = 60; % number of hydrophones
x_h = (0:N-1)*lambda/2; % x-coordinates of hydrophones
y_h = zeros(1, N); % y-coordinates of hydrophones
% Compute phase delayed signals
delayed_signals = zeros(N, length(t));
for i = 1:N
for j = 1:length(r)
d = sqrt((x_h(i)-x_r(j))^2 + (y_h(i)-y_r(j))^2); % distance from receiver to hydrophone
tau = d/c; % time delay
delayed_signals(i, :) = delayed_signals(i, :) + circshift(pulse, round(tau*Fs));
end
end
% Plot waterfall diagram
figure;
mesh(delayed_signals);
xlabel('Time (samples)');
ylabel('Hydrophone');
zlabel('Signal');
title('Waterfall Diagram of Phase Delayed Signals');
I hope this helps!
