Multistatic image entropy based autofocus

Stefan Brisken, Marco Martorella, Josef G. Worms

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

Abstract

We introduce a multistatic extension of the popular image entropy based ISAR autofocus algorithm. Instead of only estimating the target's range history, the new method is capable to estimate the full trajectory. It is not subject to geometrical limitations nor is coherency in the signal return between different sensors required. The efficiency of the new method is proved with experimental data.

Original languageEnglish
Title of host publicationInternational Radar Symposium, IRS 2013 - Proceedings
Pages443-448
Number of pages6
Publication statusPublished - 2013
Event2013 14th International Radar Symposium, IRS 2013 - Dresden, Germany
Duration: 19 Jun 201321 Jun 2013

Publication series

NameProceedings International Radar Symposium
Volume1
ISSN (Print)2155-5753

Conference

Conference2013 14th International Radar Symposium, IRS 2013
Country/TerritoryGermany
CityDresden
Period19/06/1321/06/13

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing
  • Electrical and Electronic Engineering
  • Astronomy and Astrophysics
  • Instrumentation

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