42 lines
1.4 KiB
Matlab
42 lines
1.4 KiB
Matlab
figure(1);
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clf; hold on;
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desired_result = [60:30:1200, 120, 170, 200, 430, 1000, 1300:100:2000];
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median_result = zeros(size(desired_result));
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diff_result = zeros(size(desired_result));
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all_data = [];
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for i = 1:length(desired_result)
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dist = desired_result(i);
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filename = ['calibration_data/result_', num2str(dist), 'cm.txt'];
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fileID = fopen(filename, 'r');
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sizeData = [9 Inf];
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formatSpec = [...
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'Target: %x:%x:%x:%x:%x:%x, status: %d, ',...
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'rtt: %d psec, distance: %d cm\n'...
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];
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data = fscanf(fileID, formatSpec, sizeData);
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data(:, data(7, :) ~= 0) = [];
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data(:, data(9, :) < -1000) = [];
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fclose(fileID);
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fprintf('distance: %d:\n', dist);
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fprintf('* mean: %.2fcm\n', mean(data(9, :)));
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fprintf('* median: %.2fcm\n', median(data(9, :)));
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cdfplot(data(9, :));
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median_result(i) = median(data(9, :));
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all_data = [all_data, [data(9, :); dist * ones(1, length(data(9, :)))]];
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diff_result(i) = desired_result(i) - median_result(i);
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end
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figure(2); clf;
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scatter(all_data(1, :), all_data(2, :), '.');
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params = polyfit(all_data(1, :), all_data(2, :), 1)
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fitted_data = params(1) * all_data(1, :) + params(2);
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params2 = polyfit(median_result, desired_result, 1)
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fitted_data2 = params2(1) * all_data(1, :) + params2(2);
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hold on;
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plot(all_data(1, :), fitted_data, '-')
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plot(all_data(1, :), fitted_data2, '-') |