{'fraction_non_alphanumeric': 0.013245033112582781, 'fraction_numerical': 0.0, 'mean_word_length': 5.0, '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}}
ANN based DoA Estimation of the Signal Received by Two-element Textile Wearable Antenna Array

ANN model for one-dimensional DoA estimation of the signal received by two-element textile wearable antenna array is proposed in this paper. Multilayer perceptron network is used to create the MLP_DoA module which is capable to provide information of a radio gateway location in azimuthal plane as output when a spatial correlation matrix, found by receiving the radio gateway signal using two-element textile wearable antenna array, is on its input. The noise impact on the accuracy of the proposed ANN model is investigated. Comparison of the presented model with the root MUSIC algorithm in terms of accuracy and program execution time is also demonstrated.