Spaceborne SAR antenna size reduction enabled by compressive sampling

Xiaqing Valerie Yang, Athina P. Petropulu

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

Abstract

In synthetic aperture radar (SAR) systems the antenna size needs to meet a minimum requirement in order for range and azimuth ambiguities to be avoided. This paper demonstrates that, by using random or jittered undersampling in the slow-time axis followed by sparse signal recovery techniques, one can reduce the SAR antenna size beyond that minimum requirement without significant loss target estimation performance. In other words, compressive sampling can enable compression of the physical interface in addition to the well cited benefits for data reduction.

Original languageAmerican English
Title of host publication2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages297-301
Number of pages5
ISBN (Electronic)9781509045457
DOIs
StatePublished - Apr 19 2017
Event2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Washington, United States
Duration: Dec 7 2016Dec 9 2016

Publication series

Name2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings

Conference

Conference2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016
Country/TerritoryUnited States
CityWashington
Period12/7/1612/9/16

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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