{'fraction_non_alphanumeric': 0.023985239852398525, 'fraction_numerical': 0.0, 'mean_word_length': 6.144736842105263, '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}}
Model-Based Optimization of Compressive Antennas for High-Sensing-Capacity Applications

This letter presents a novel, model-based compressive antenna design method for high-sensing-capacity imaging applications. Given a set of design constraints, the method maximizes the capacity of the compressive antenna by varying the constitutive properties of scatterers distributed along the antenna. Preliminary two-dimensional design results demonstrate the new method's ability to produce antenna configurations with enhanced imaging capabilities.