Adaptive CFAR for Space-Based Multichannel SAR-GMTI

This paper studies the statistics of clutter data measured with a multichannel space-based synthetic aperture radar (SAR) for the purpose of ground moving target indication (GMTI) and presents an algorithm that implements an adaptive constant false-alarm rate (CFAR) detector. It discusses the differ...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on geoscience and remote sensing 2012-12, Vol.50 (12), p.5004-5013
Main Authors: Sikaneta, I. C., Gierull, C. H.
Format: Article
Language:English
Subjects:
Adaptive algorithms
Algorithms
Applied geophysics
CFAR
Clutter
compound distribution
Earth sciences
Earth, ocean, space
Exact sciences and technology
Internal geophysics
Multichannel
Phase noise
Radar clutter
Radar cross section
radar detection
space-based radar
Spaceborne radar
Statistics
Surface layer
Synthetic aperture radar
Texture
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper studies the statistics of clutter data measured with a multichannel space-based synthetic aperture radar (SAR) for the purpose of ground moving target indication (GMTI) and presents an algorithm that implements an adaptive constant false-alarm rate (CFAR) detector. It discusses the differences between airborne and space-based SAR-GMTI clutter measurements and proposes how to develop the statistics of the latter from widely published results for the former. Based upon one of the differences, it proposes an adaptive CFAR detector and demonstrates detection using measured RADARSAT-2 data. The adaptive CFAR algorithm does not require a texture distribution for heterogeneous clutter.
ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.2012.2195320