{'fraction_non_alphanumeric': 0.017162471395881007, 'fraction_numerical': 0.0, 'mean_word_length': 5.529850746268656, '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}}
Beamforming algorithm for interference suppression in imaging with FDA-MIMO radar

Abstract. In radar imaging, the beamforming segment plays an important role in interference mitigation. A beamforming algorithm based on frequency diverse array multiple-input multiple-output radar is proposed for suppressing false targets in imaging. A beampattern null spreading method based on weight vector design is presented by analyzing the composition of the weight vector. Specifically, the covariance matrix is reconstructed based on the artificial interference points. Then, the optimal weight vector can be solved by the algorithm to achieve the purpose of null spreading. As a result, the beamforming method effectively suppresses the false targets in the imaging scene. Simulation experiments are provided to illustrate the effectiveness and superiority of the proposed method.