Replacing Sensorsig with my own synthetic data for radar calibration
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Hello all,
I need to implement pilotcalib on synthetic radar data of 12 antenna elements, the data I receive is 1000 PRIs and 800 range bins such that the the size of my data is [12, 1000, 800]. I am not sure how to input this to the pilotcalib function and account for repetition of the pulse intervals as well as the periods when the receiver is "listening".
The input to the pilotcalib funciton should be LxNxM where L is the number of snapshots received by the array for each pilot source and M is the number of pilot sources.
Is it possible to implement pilotcalib on a radar system? If so do I need to remove the periods when there is nothing being received?
Many thanks
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Hari
2024 年 9 月 2 日
Hi,
I understand that you are working with synthetic radar data and need to calibrate the radar system using the "pilotcalib" function in MATLAB. Your data has dimensions [12, 1000, 800], corresponding to 12 antenna elements, 1000 Pulse Repetition Intervals (PRIs), and 800 range bins. You are facing difficulty in formating your data for the "pilotcalib" function.
Assuming you have the Phased Array System Toolbox, which includes the "pilotcalib" function, you will need to preprocess your data to match the expected input format of the "pilotcalib" function. The "pilotcalib" function expects an input of size LxNxM, where L is the number of snapshots received by the array for each pilot source, N is the number of antenna elements, and M is the number of pilot sources.
You can reshape or select portions of your data to create an input matrix that matches this format. If your synthetic data includes periods where nothing is received (no signal present), you should remove these periods before passing the data to "pilotcalib". Here's a conceptual example of how you might preprocess your data:
% Assuming 'data' includes periods with no signal that need to be removed,
% and assuming 'validIndices' is a logical or numeric array that indicates
% the indices where the signal is present
validData = data(:, validIndices, :);
% Reshape 'validData' to match the input requirements of 'pilotcalib'
% Here, 'L' is the number of snapshots, 'N' is the number of antenna elements,
% 'M' is the number of pilot sources. You will need to determine 'L' and 'M'
% based on your specific scenario and how you've structured your synthetic data.
L = size(validData, 2);
N = size(validData, 1);
M = size(validData, 3);
inputData = reshape(validData, [L, N, M]);
% Now you can call 'pilotcalib' with the preprocessed data
calibResult = pilotcalib(inputData);
For more information on the "pilotcalib" function and its usage, refer to the documentation of "pilotcalib" function https://www.mathworks.com/help/phased/ref/pilotcalib.html
To understand how to reshape matrices in MATLAB, which may be necessary for preprocessing your data, you can look at the documentation for "reshape" function
If you need to identify or remove certain periods from your data, consider reviewing the documentation on logical indexing in MATLAB
Hope this helps!
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