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ecl-ekf-tools: fix a bug related to time index calculation #9489

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May 19, 2018
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ecl-ekf-tools: fix a bug related to time index calculation #9489

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16 changes: 8 additions & 8 deletions Tools/ecl_ekf/analyse_logdata_ekf.py
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Original file line number Diff line number Diff line change
Expand Up @@ -999,19 +999,19 @@ def analyse_ekf(estimator_status, ekf2_innovations, sensor_preflight, check_leve
# Do some automated analysis of the status data
# find a late/early index range from 5 sec after in_air_transtion_time to 5 sec before on-ground transition time for mag and optical flow checks to avoid false positives
# this can be used to prevent false positives for sensors adversely affected by close proximity to the ground
late_start_index = np.argmin(status_time[np.where(status_time > (in_air_transition_time + 5.0))])
early_end_index = np.argmax(status_time[np.where(status_time < (on_ground_transition_time - 5.0))])
late_start_index = np.amin(np.where(status_time > (in_air_transition_time + 5.0)))
early_end_index = np.amax(np.where(status_time < (on_ground_transition_time - 5.0)))
num_valid_values_trimmed = (early_end_index - late_start_index + 1)
# normal index range is defined by the flight duration
start_index = np.argmin(status_time[np.where(status_time > in_air_transition_time)])
end_index = np.argmax(status_time[np.where(status_time < on_ground_transition_time)])
start_index = np.amin(np.where(status_time > in_air_transition_time))
end_index = np.amax(np.where(status_time < on_ground_transition_time))
num_valid_values = (end_index - start_index + 1)
# also find the start and finish indexes for the innovation data
innov_late_start_index = np.argmin(innov_time[np.where(innov_time > (in_air_transition_time + 5.0))])
innov_early_end_index = np.argmax(innov_time[np.where(innov_time < (on_ground_transition_time - 5.0))])
innov_late_start_index = np.amin(np.where(innov_time > (in_air_transition_time + 5.0)))
innov_early_end_index = np.amax(np.where(innov_time < (on_ground_transition_time - 5.0)))
innov_num_valid_values_trimmed = (innov_early_end_index - innov_late_start_index + 1)
innov_start_index = np.argmin(innov_time[np.where(innov_time > in_air_transition_time)])
innov_end_index = np.argmax(innov_time[np.where(innov_time < on_ground_transition_time)])
innov_start_index = np.amin(np.where(innov_time > in_air_transition_time))
innov_end_index = np.amax(np.where(innov_time < on_ground_transition_time))
innov_num_valid_values = (innov_end_index - innov_start_index + 1)
# define dictionary of test results and descriptions
test_results = {
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