{'fraction_non_alphanumeric': 0.01725703905540418, 'fraction_numerical': 0.0, 'mean_word_length': 5.122222222222222, '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}}
Compressed Imaging in Foreign Object Debris Radar

Foreign object debris (FOD) radar systems are often utilized to detect any foreign material on the pavement that may injure or threaten aircraft and personnel. The normal matched filter process along range would encounter frequency leakage when there are strong scattering targets. It causes low imaging quality and interference to object detection. With the compressed sensing (CS) technique implement, it does not require a Fourier transform or Nyquist sample rate. The compressed imaging is introduced to retrieve the image scene with better resolution and a reduced amount of collected samples. The long stripes scattering phenomenon could be alleviated, which is beneficial to further processing. Besides, we demonstrate this concept of FMCW imaging using compressed sensing theory with real data. Still, we point out some of its benefits with FOD radar system application never before realized. To the best of our knowledge, there is no prior compressed imaging approach to improve the range process of a FOD radar, as we present in this paper.