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Tools/ecl_ekf: fix vibe_metrics usage (moved to vehicle_imu_status instances)
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@@ -250,18 +250,32 @@ def create_pdf_report(ulog: ULog, multi_instance: int, output_plot_filename: str
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data_plot.save()
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data_plot.close()
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# Plot the EKF IMU vibration metrics
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scaled_estimator_status = {'vibe[0]': 1000. * estimator_status['vibe[0]'],
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'vibe[1]': 1000. * estimator_status['vibe[1]'],
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'vibe[2]': estimator_status['vibe[2]']
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}
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data_plot = CheckFlagsPlot(
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status_time, scaled_estimator_status, [['vibe[0]'], ['vibe[1]'], ['vibe[2]']],
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x_label='time (sec)', y_labels=['Del Ang Coning (mrad)', 'HF Del Ang (mrad)',
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'HF Del Vel (m/s)'], plot_title='IMU Vibration Metrics',
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pdf_handle=pdf_pages, annotate=True)
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data_plot.save()
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data_plot.close()
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for imu_status_instance in range(4):
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try:
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vehicle_imu_status_data = ulog.get_dataset('vehicle_imu_status', imu_status_instance).data
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imu_status_time = 1e-6 * vehicle_imu_status_data['timestamp']
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if vehicle_imu_status_data['accel_device_id'][0] == estimator_status['accel_device_id'][0]:
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scaled_estimator_status = {'delta_angle_coning_metric': 1000. * vehicle_imu_status_data['delta_angle_coning_metric'],
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'gyro_vibration_metric': vehicle_imu_status_data['gyro_vibration_metric'],
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'accel_vibration_metric': vehicle_imu_status_data['accel_vibration_metric']
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}
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data_plot = CheckFlagsPlot(
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imu_status_time, scaled_estimator_status, [['delta_angle_coning_metric'], ['gyro_vibration_metric'], ['accel_vibration_metric']],
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x_label='time (sec)',
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y_labels=['Del Ang Coning (mrad^2)', 'HF Gyro (rad/s)', 'HF accel (m/s/s)'],
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plot_title='IMU Vibration Metrics',
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pdf_handle=pdf_pages, annotate=True)
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data_plot.save()
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data_plot.close()
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except:
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pass
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# Plot the EKF output observer tracking errors
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scaled_innovations = {
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