NIST · ИТ · a167ef0196efb43edecf
Algorithm-Supervised Millimeter Wave Indoor Localization using Tiny Neural Networks
The quasi-optical propagation of mmw signals has been instrumental in designing high-accuracy localization algorithms. These algorithms either exploit the geometric properties of the mmw signals or are based on an environment's radio footprints, leading to
NIST · ИТОфициальный источник · 2025-01-17
{
"title_en": "Algorithm-Supervised Millimeter Wave Indoor Localization using Tiny Neural Networks",
"designation": "",
"series": "",
"status": "",
"date": "2025-01-17",
"date_original": "January 17, 2025",
"url": "https://www.nist.gov/publications/algorithm-supervised-millimeter-wave-indoor-localization-using-tiny-neural-networks",
"source": "NIST Publications",
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"authors_en": "Anish Shastri, Steve Blandino , Camillo Gentile , Chiehping Lai , Paolo Casari",
"abstract_excerpt_en": "The quasi-optical propagation of mmw signals has been instrumental in designing high-accuracy localization algorithms. These algorithms either exploit the geometric properties of the mmw signals or are based on an environment's radio footprints, leading to",
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{
"title_en": "Algorithm-Supervised Millimeter Wave Indoor Localization using Tiny Neural Networks",
"designation": "",
"series": "",
"status": "",
"date": "2025-01-17",
"date_original": "January 17, 2025",
"url": "https://www.nist.gov/publications/algorithm-supervised-millimeter-wave-indoor-localization-using-tiny-neural-networks",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Anish Shastri, Steve Blandino , Camillo Gentile , Chiehping Lai , Paolo Casari",
"abstract_excerpt_en": "The quasi-optical propagation of mmw signals has been instrumental in designing high-accuracy localization algorithms. These algorithms either exploit the geometric properties of the mmw signals or are based on an environment's radio footprints, leading to"
}
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