Observatorio de I+D+i UPM

Descripción
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.
Internacional	Si
JCR del ISI	Si
Título de la revista	IEEE T AERO ELEC SYS
ISSN	0018-9251
Factor de impacto JCR	0,938
Información de impacto
Volumen	43
DOI
Número de revista	2
Desde la página	571
Hasta la página	580
Mes	ABRIL
Ranking

Esta actividad pertenece a memorias de investigación

• Autor: Carlos Castillo Rubio
• Autor: Sergio Llorente Romano (UPM)
• Autor: Mateo Burgos Garcia (UPM)

• Creador: Grupo de Investigación: Microondas y Radar
• Departamento: Señales, Sistemas y Radiocomunicaciones