Radar-Based Non-Line-of-Sight Multi-Human Subject Identification with Respiration Matching
In radar-based non-line-of-sight (NLOS) target detection, it is still a challenging task in human subject identification due to multipath influences. To address this issue, a novel radar-based NLOS multi-human subject identification method with respiration matching is proposed. First, the multiple p...
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Published in | 2024 IEEE Asia-Pacific Microwave Conference (APMC) pp. 1 - 3 |
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Main Authors | , , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
17.11.2024
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Subjects | |
Online Access | Get full text |
ISSN | 2690-3946 |
DOI | 10.1109/APMC60911.2024.10867485 |
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Summary: | In radar-based non-line-of-sight (NLOS) target detection, it is still a challenging task in human subject identification due to multipath influences. To address this issue, a novel radar-based NLOS multi-human subject identification method with respiration matching is proposed. First, the multiple paths were extracted as possible subject locations from the range-time (RT) map based on the energy accumulation. Next, Fast Fourier Transform (FFT) was performed on each path to find the ones with the presence of respiratory rate. According to the respiration rate, candidate multipaths can be classified into several categories belonging to different subjects, and the number of human subjects can be determined. Then, a path matching algorithm was applied to derive the detailed order of candidate multipaths. Finally, an ellipse-cross-localization method was used to compute the localization of each human subject. |
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ISSN: | 2690-3946 |
DOI: | 10.1109/APMC60911.2024.10867485 |