Doppler beam sharpening in passive bistatic radar with spaceborne illuminators of opportunity

J. P. Rowlatt*, S. Hristov, L. Daniel, M. S. Gashinova, A. G. Stove, M. Cherniakov

*Corresponding author for this work

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

Abstract

The applicability of Doppler beam sharpening (DBS) is assessed for the use in a passive bistatic system using a spaceborne transmitter in the Inmarsat constellation (Alphasat) as the illuminator of opportunity, for potential application in low cost maritime early warning systems in vessels. The effect of sharpening for both stationary and moving targets is discussed in theory, with models to show the effects for stationary targets that predicted a large improvement in angular resolution through the use of DBS. Experimental results show the effect in action, with three distinguishable targets found within 10 degrees using an antenna with a full beamwidth of 30 degrees, for a receiver moving at a mean of 11.6m/s over a coherent integration time of 1s, a carrier wave wavelength of 0.193m, a target range of 2.5-3km, and target look angle of 20-30 degrees. The results from the experiment are shown to agree with a simulation of a similar system, and a visual demonstration of the results overlaid on a satellite map is also displayed.

Original languageEnglish
Title of host publication2018 19th International Radar Symposium, IRS 2018
EditorsHermann Rohling
PublisherIEEE Computer Society Press
ISBN (Print)9783736995451
DOIs
Publication statusPublished - 27 Aug 2018
Event19th International Radar Symposium, IRS 2018 - Bonn, Germany
Duration: 20 Jun 201822 Jun 2018

Publication series

NameProceedings International Radar Symposium
Volume2018-June
ISSN (Print)2155-5753

Conference

Conference19th International Radar Symposium, IRS 2018
Country/TerritoryGermany
CityBonn
Period20/06/1822/06/18

Bibliographical note

Publisher Copyright:
© 2018 German Institute of Navigation - DGON.

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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