{'fraction_non_alphanumeric': 0.02269503546099291, 'fraction_numerical': 0.0, 'mean_word_length': 5.36036036036036, '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}}
Autofocusing of UWB MIMO GPR Images by Using MZO and Entropy Minimization

In this letter, an autofocusing method for ultra-wideband ground-penetrating radar imaging with multiple-input multiple-output (MIMO) configuration is proposed. The proposed method is based on the minimization of the entropy of the images that have been migrated by frequency-wavenumber migration. A particular migration to zero-offset (MZO) operator is applied to reduce the processing complexity for MIMO data. The results on the simulation data show that the computation time of the autofocusing process is reduced significantly with the MZO operator, while some advantages of the MIMO configuration are successfully preserved.