Moving target detection based on sub-aperture image

Zhang Weijie, Peng Yingning, Li Wenwen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In conventional monostatic synthetic aperture radar system, it is difficult to detect moving target in clutter background. In this paper, a new algorithm called sub-aperture image cancellation is proposed for moving target detection. In this algorithm, based on Doppler parameters of stationary background, a matched function band is designed for sub-aperture imaging. The sub-aperture images are cancelled to eliminate the clutters from background. By azimuth-direction summation of cancelled images, the energy of moving target is accumulated and the variance of noise is reduced. Two thresholds are used to implement constant false alarm rate to detect moving target The algorithm is verified by RADARSAT-I data. Some moving targets are found in sub-aperture image.

Original languageEnglish (US)
Title of host publication2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
Pages3325-3328
Number of pages4
DOIs
StatePublished - Dec 1 2006
Externally publishedYes
Event2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS - Denver, CO, United States
Duration: Jul 31 2006Aug 4 2006

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Other

Other2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
Country/TerritoryUnited States
CityDenver, CO
Period7/31/068/4/06

Keywords

  • Matched function band
  • Moving target detection
  • SAR
  • Sub-aperture imaging

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

Fingerprint

Dive into the research topics of 'Moving target detection based on sub-aperture image'. Together they form a unique fingerprint.

Cite this