Memorias de investigación
Research Publications in journals:
Robust SVA Method for Every Sampling Rate Condition
Year:2007

Research Areas
  • Processing and signal analysis

Information
Abstract
Linear apodization, or data weighting, is the traditional procedure to improve sidelobe levels in a finite sampled signal at the expense of resolution. New apodization methods, such as spatially variant apodization (SVA), apply nonlinear filtering to the signal in order to completely remove sidelobes without any loss or resolution. However, the results are strongly influenced by signal sampling rate. Some variations which improve results have been previously published, but sidelobe cancellation gets worse since sampling frequency is not settled at Nyquist (or a multiple). This paper presents a new and efficient technique based on SVA that drastically reduces sidelobe levels for every sampling rate condition. The algorithm is, essentially, a parameter optimization of a variant filter for each pixelof the image. A one -dimensional case and a two-dimensional generalization are presented, as well as some applications to target detection capability in a synthetic aperture radar (SAR) systems.
International
Si
JCR
Si
Title
IEEE T AERO ELEC SYS
ISBN
0018-9251
Impact factor JCR
0,938
Impact info
Volume
43
Journal number
2
From page
571
To page
580
Month
ABRIL
Ranking
Participants
  • Autor: Carlos Castillo Rubio
  • Autor: Sergio Llorente Romano UPM
  • Autor: Mateo Burgos Garcia UPM

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Microondas y Radar
  • Departamento: Señales, Sistemas y Radiocomunicaciones