| Title | The Capability of Truncated Singular Value Decomposition Method for Through the Wall Microwave Imaging |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Doğu, S., Alidoustaghdam, H., Dilman, İ, Akıncı, M. N. |
| Conference Name | 2020 IEEE Microwave Theory and Techniques in Wireless Communications (MTTW) |
| Date Published | oct |
| Keywords | compositionality, cyber physical systems, decomposition, electromagnetic wave scattering, Frequency measurement, identical multiple scatterers, Indexes, inverse scattering theory., Metrics, microwave communication, microwave imaging, Microwave theory and techniques, nonidentical multiple scatterers, pubcrawl, scattered data, singular value decomposition, Through the wall imaging, through the wall microwave imaging, truncated singular value decomposition, truncated singular value decomposition method, truncation threshold selection, TSVD methods, Wireless communication |
| Abstract | In this study, a truncated singular value decomposition (TSVD) based computationally efficient through the wall imaging (TWI) is addressed. Mainly, two different scenarios with identical and non-identical multiple scatterers behind the wall have been considered. The scattered data are processed with special scheme in order to improve quality of the results and measurements are performed at four different frequencies. Next, effects of selecting truncation threshold in TSVD methods are analyzed and a detailed quantitative comparison is provided to demonstrate capabilities of these TSVD methods over selection of truncation threshold. |
| DOI | 10.1109/MTTW51045.2020.9244925 |
| Citation Key | dogu_capability_2020 |
The Capability of Truncated Singular Value Decomposition Method for Through the Wall Microwave Imaging