| Autor: |
Hao Zhang, Farnaz Mahmoudi Shikhsarmast, Tingting Lyu |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
2019 International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM). |
| DOI: |
10.1109/iwem.2019.8887869 |
| Popis: |
This research studies on vital signs (VS) like detection the motion of human respiration of via an impulse ultra-wideband (UWB) through-wall radar with a further responsive algorithm in order to remove clutter, de-noising and random-noise. betterment of the signal-to-noise ratio (SNR) of these VS signals gained utilizing one filter. Apply the wavelet packet analysis, the standard deviation based spectral kurtosis is signed up to study the signal characteristics to impart the distance calculate among the radar and alive object. The data size moderation with regard to a defined region of interest (RDI) rises the system efficiency. The frequency of respiration is estimated by a multiple time window selection algorithm. demonstrated experimental finding points to the superior efficacy and reliability of this technique. The proposed technique showed clear VS calculation than existing methods in the literature. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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