{'fraction_non_alphanumeric': 0.01647058823529412, 'fraction_numerical': 0.0, 'mean_word_length': 5.808, '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}}
Full polarization high-resolution radar imaging based on multichannel joint sparse recovery

In this paper, a novel full polarization high-resolution ISAR imaging method based on multichannel joint sparse recovery is proposed. First, a definition of joint sparsity is given by exploiting the scattering characteristics of target in fully polarimetric channels. Then, a multichannel joint sparse recovery algorithm is proposed to reconstruct fully polarimetric radar images under the constraint of the joint sparsity. The proposed imaging method can not only provide high-resolution radar images with limited measurements, but also preserve the true polarimetric scattering characteristics of the target, which are beneficial for further applications. Finally, simulated experiments of the backhoe data verify the effectiveness of the proposed method.