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clc; clear; close all;
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function iq_new = iq_augment(iq_raw, type, param)
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iq_new = iq_raw;
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peak_amp = quantile(abs(iq_raw), 0.999);
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avg_amp = mean(abs(iq_raw));
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switch type
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case 'awgn'
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noise = (randn(size(iq_raw)) + 1j*randn(size(iq_raw)));
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noise = noise / std(noise);
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iq_new = iq_raw + (peak_amp * param) * noise;
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case 'phase'
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theta_noise = param * randn(size(iq_raw));
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iq_new = iq_raw .* exp(1j * theta_noise);
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case 'fading'
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len = length(iq_raw);
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filter_len = round(len / param);
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if filter_len < 3, filter_len = 3; end
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fading_process = randn(1, len) + 1j*randn(1, len);
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env = movmean(abs(fading_process), filter_len);
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env = (env - min(env)) / (max(env) - min(env));
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iq_new = iq_raw .* env;
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case 'burst'
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mask = rand(size(iq_raw)) < param;
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burst_val = (randn(size(iq_raw)) + 1j*randn(size(iq_raw))) * (peak_amp * 0.8);
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iq_new = iq_raw + mask .* burst_val;
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end
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end
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input_folder = "D:\uav_detect\drone-rf\DAUTELEVONANO";
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output_root = "D:\uav_detect\drone-rf\DAUTELEVONANO\test";
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GLOBAL_MIN_DB = -120;
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GLOBAL_MAX_DB = 50;
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fs = 100e6;
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duration_ms = 30;
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overlap_time = 0.5;
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nfft = 1024;
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window = hamming(3072);
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spec_overlap = nfft/2;
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cmap = colormap(jet(256));
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aug_types = {'original', 'awgn_light', 'awgn_heavy', 'phase_noise', 'fading'};
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samples_per_image = round(fs * (duration_ms / 1000));
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step_size = round(samples_per_image * (1 - overlap_time));
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bytes_back = (samples_per_image - step_size) * 8;
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file_pattern = fullfile(input_folder, 'pack1_*.iq');
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file_list = dir(file_pattern);
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if isempty(file_list)
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error('Không tìm thấy file .iq nào trong folder "%s"', input_folder);
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end
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if ~exist(output_root, 'dir')
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mkdir(output_root);
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end
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fprintf('Tìm thấy %d file trong "%s".\n', length(file_list), input_folder);
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fprintf('Scale áp dụng: [%d dB, %d dB]\n', GLOBAL_MIN_DB, GLOBAL_MAX_DB);
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for k = 1:length(file_list)
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current_filename = file_list(k).name;
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full_path = fullfile(file_list(k).folder, current_filename);
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sub_folder_name = sprintf('spectrogram%02d', k);
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output_dir = fullfile(output_root, sub_folder_name);
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if ~exist(output_dir, 'dir')
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mkdir(output_dir);
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end
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fprintf('--> [%d/%d] Đang xử lý: %s >>> Lưu vào: %s\n', ...
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k, length(file_list), current_filename, sub_folder_name);
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fid = fopen(full_path, 'r');
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if fid == -1
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warning('Lỗi mở file %s', full_path);
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continue;
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end
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fseek(fid, 0, 'eof'); file_size = ftell(fid); fseek(fid, 0, 'bof');
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img_count = 0;
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while ~feof(fid)
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img_count = img_count + 1;
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raw_data = fread(fid, [2, samples_per_image], 'float32');
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if size(raw_data, 2) < samples_per_image
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break;
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end
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iq_chunk = complex(raw_data(1,:), raw_data(2,:));
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aug_types = {'awgn_light', 'awgn_heavy', 'phase', 'fading', 'burst'};
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for a = 2
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type_key = aug_types{a};
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switch type_key
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case 'awgn_light'
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iq_processed = iq_augment(iq_chunk, 'awgn', 0.05);
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case 'awgn_heavy'
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iq_processed = iq_augment(iq_chunk, 'awgn', 5);
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case 'phase'
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iq_processed = iq_augment(iq_chunk, 'phase', 0.8);
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case 'fading'
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iq_processed = iq_augment(iq_chunk, 'fading', 200);
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case 'burst'
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iq_processed = iq_augment(iq_chunk, 'burst', 0.03);
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end
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[s, ~, ~] = spectrogram(iq_chunk, window, spec_overlap, nfft, fs, 'centered');
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mag = 20*log10(abs(s) + eps);
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mag(mag < GLOBAL_MIN_DB) = GLOBAL_MIN_DB;
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mag(mag > GLOBAL_MAX_DB) = GLOBAL_MAX_DB;
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mag_norm = (mag - GLOBAL_MIN_DB) / (GLOBAL_MAX_DB - GLOBAL_MIN_DB);
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img_rgb = ind2rgb(gray2ind(mag_norm, 256), cmap);
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fname = sprintf('seq%02d_%05d_%s.jpg', k, img_count, type_key);
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imwrite(img_rgb, fullfile(output_dir, fname), 'Quality', 95);
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end
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fseek(fid, -bytes_back, 'cof');
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end
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fclose(fid);
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end
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fprintf('\n=== HOÀN TẤT! KIỂM TRA FOLDER "%s" ===\n', output_root); |