GNSS-based multistatic passive radar imaging of ship targets

Fabrizio Santi, Debora Pastina, Michail Antoniou, Mikhail Cherniakov

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

3 Citations (Scopus)

Abstract

This work brings forward a framework for passive radar imaging of ship targets by exploiting the reflections of navigation satellite signals. The specific objective is taking advantage of the inherent multistatic nature of the system for the ship passive imagery. To this aim, a bistatic image formation stage is first defined. Then, the bistatic images obtained over multiple baselines are mapped in a domain independent on the particular satellite viewing angle. Finally, different combination rules of the multiple images are defined in order to enable multistatic imagery with enhanced quality, potentially enabling finer feature extraction procedures for ship classification. The proposed approaches are validated and compared via an experimental campaign comprising multiple Galileo satellites and a commercial ferry undergoing different types of motion.

Original languageEnglish
Title of host publication2020 IEEE International Radar Conference, RADAR 2020
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages601-606
Number of pages6
ISBN (Electronic)9781728168128
DOIs
Publication statusPublished - Apr 2020
Event2020 IEEE International Radar Conference, RADAR 2020 - Washington, United States
Duration: 28 Apr 202030 Apr 2020

Publication series

Name2020 IEEE International Radar Conference, RADAR 2020

Conference

Conference2020 IEEE International Radar Conference, RADAR 2020
Country/TerritoryUnited States
CityWashington
Period28/04/2030/04/20

Keywords

  • GNSS-based passive radar
  • Maritime surveillance
  • Multistatic passive radar
  • Passive radar imaging

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

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