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Memorias de investigación
Communications at congresses:
High Resolution ISAR Images of Non-Cooperative Targets with a New Spatially Variant Apodisation Method
Year:2007
Research Areas
  • Processing and signal analysis
Information
Abstract
An Inverse Synthetic Aperture Radar (ISAR) obtains images of radar targets by means of an advanced signal processing. The image quality is usually measured by two parameters: resolution and sidelobe level. Sidelobe level is commonly reduced by leneal apodisation (or windowing), this signal processing technique is simple but its mayor drawback is resolution loss. Spatially Variant Apodisation (SVA) is a non-linear signal processing method that obtains a high sidelobe reduction with no resolution loss. Basic SVA has demonstrate advantages in different SAR scenarios with isolated well focused targets. However, even in that case, SVA results get worse when it is applied to oversampled radar images. A new SVA method is introduced here that obtains greater results with or without oversampling with a few increase of computational burden. This new algorthm has been applied to real ISAR data obtained by a high-resolution radar developed by our research group.
International
Si
Congress
The IET International Conference on Radar System, Radar 2007
960
Place
Edinburgh (United Kingdom)
Reviewers
Si
ISBN/ISSN
0537-9989
Start Date
15/10/2007
End Date
18/10/2007
From page
To page
Participants
  • Autor: Carlos Castillo Rubio
  • Autor: Alvaro Blanco Campo (UPM)
  • Autor: Alberto Asensio Lopez (UPM)
  • Autor: Mateo Burgos Garcia (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Microondas y Radar
  • Departamento: Señales, Sistemas y Radiocomunicaciones
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