A Novel Tensor RPCA Based Background Subtraction Method for Outdoor Imaging with a Low Cost Portable Radar

Measurements acquired by low cost, low weighted, portable ultra-wide-band (UWB) radar systems are highly affected by measurement noise and clutter compared to the anechoic chamber vector network analyzer (VNA) measurements. Efficient background subtraction is vital prior to any target detection and...

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Veröffentlicht in:	IEEE access 2022-01, Vol.10, p.1-1
Hauptverfasser:	Kumlu, Deniz, Erer, Isin, Paker, Selcuk
Format:	Artikel
Sprache:	eng
Schlagworte:	Anechoic chambers Antennas background subtraction Clutter Imaging Low cost Mathematical analysis Matrix decomposition Network analysers Noise measurement outdoor radar imaging Portability Principal components analysis Radar Radar data Radar equipment Radar imaging Radar measurement Regularization robust principal component analysis (RPCA) Singular value decomposition Sparse matrices Subtraction Synthetic apertures Target detection tensor RPCA (TRPCA) Tensors Ultra wideband (UWB) radar Ultrawideband radar
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