The Capability of Truncated Singular Value Decomposition Method for through the Wall Microwave Imaging


Doğu S., Alidoustaghdam H., Dilman I., Akıncı M. N.

2020 IEEE Workshop on Microwave Theory and Techniques in Wireless Communications, MTTW 2020, Virtual, Riga, Letonya, 1 - 02 Ekim 2020, ss.76-81 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/mttw51045.2020.9244925
  • Basıldığı Şehir: Virtual, Riga
  • Basıldığı Ülke: Letonya
  • Sayfa Sayıları: ss.76-81
  • Anahtar Kelimeler: inverse scattering theory., Through the wall imaging, truncated singular value decomposition
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

© 2020 IEEE.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.