{'fraction_non_alphanumeric': 0.029565217391304348, 'fraction_numerical': 0.0, 'mean_word_length': 5.255434782608695, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
A Closed-Loop Imaging Infrared-Based Tracker For Fire Control

This report presents a closed-loop automatic tracker for imaging IR-based fire control. A tank target state estimation filter is discussed and major tradeoffs in the implementation of Kalman filters and tracker rate-aiding are given. Tank target maneuver capabilities are surveyed and results are incorporated in the filter. The developed augmented Kalman filter is based upon nine filter states and three measurements. Simulation studies show acceptable target prediction accuracies for tank targets even for constant Kalman gains. Gain scheduling is performed during filter initialization or when a "target maneuver" is detected from testing the statistics of filter residuals. The augmented Kalman filter uses range and line-of-sight (LOS) angular rate measurements obtained from platform-mounted range and angular rate sensors. Filtered inertial angular rates are used for tracker rate-aiding before and after "breaklock"-if this occurs (e.g., if target gets occluded). During the tracker "coast-until-reacquisition" phase the propagated filter rates are used to command the gimbals.