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.
|Title of host publication||Proceedings of 2020 IEEE Workshop on Microwave Theory and Techniques in Wireless Communications, MTTW 2020|
|Editors||Arturs Aboltins, Anna Litvinenko|
|Place of Publication||Piscataway, NJ|
|Number of pages||6|
|Publication status||Published - 1 Oct 2020|
|Event||2020 IEEE Workshop on Microwave Theory and Techniques in Wireless Communications, MTTW 2020 - Virtual, Riga, Latvia|
Duration: 1 Oct 2020 → 2 Oct 2020
|Conference||2020 IEEE Workshop on Microwave Theory and Techniques in Wireless Communications, MTTW 2020|
|Period||1/10/20 → 2/10/20|
- Inverse scattering theory.
- Through the wall imaging
- Truncated singular value decomposition
- n/a OA procedure