Through-Wall UWB Radar Based on Sparse Deconvolution with Arctangent Regularization for Locating Human Subjects
A common problem in through-wall radar is reflected signals much attenuated by wall and environmental noise. The reflected signal is a convolution product of a wavelet and an unknown object time series. This paper aims to extract the object time series from a noisy receiving signal of through-wall u...
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| Glavni autori: | , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
MDPI AG
2021-04-01
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| Serija: | Sensors |
| Teme: | |
| Online pristup: | https://www.mdpi.com/1424-8220/21/7/2488 |
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