{'fraction_non_alphanumeric': 0.02676864244741874, 'fraction_numerical': 0.0, 'mean_word_length': 5.158823529411765, '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}}
EKF based Direct Target Motion Analysis

Traditional target motion analysis (TMA) is normally carried out with a two-step method, where the first step is to search for the parameterized measurements (e.g., bearing, Doppler) of a target with signal processing algorithms, followed by a recursive or batched geographic tracking algorithm. In this paper, we propose a new direct TMA (DTMA) algorithm with a sensor array based on the extended Kalman filter (EKF) running within the Cartesian coordinate. In such a scenario, the sensor has to execute a maneuver to gain the observability with respect to target state. By exploiting the direction of arrival (DOA) effect of the received signal, the Jacobian matrix, which is essential for linearizing the measurement function with the EKF method, is achieved. A remarkable feature of the proposed algorithm is that it can directly estimate target state in the Cartesian coordinate from the single snapshot received signal. The effectiveness of proposed algorithm is assessed via simulation experiments.