Clutter reduction methods in ultra wideband (UWB) radar and time/performance evaluation on ARM processors Aşiri geni̇ş bant radarlarda kargaşa bastirma yöntemleri̇ ve arm i̇şlemci̇lerde zaman/veri̇m deǧerlendi̇rmesi̇

Öztürk E., Atli A., Mercan M., Çalişkan A., Erer I.

2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Fethiye, Mugla, Turkey, 18 - 20 April 2012 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu.2012.6204784
  • City: Fethiye, Mugla
  • Country: Turkey
  • Istanbul Technical University Affiliated: Yes


In this study, principal component analysis (PCA), singular value decomposition (SVD) and independent component analysis (ICA), which are statistical signal processing methods for clutter reduction, are explained in ultra wideband (UWB) radars. In addition, how to use these methods in through wall imaging (TWI) and time/performance relationship on ARM Cortex A-8 processors which have floating-point mathematical operation support is examined by using OpenCV library. In the conclusion part, the results obtained from a metal behind a wall was made of ytong bricks is discussed. © 2012 IEEE.