RANSAC-based flight parameter estimation for registration-based range-dependence compensation in airborne bistatic STAP radar with conformal antenna arrays

Philippe Ries, Fabian D. Lapierre, Jacques G. Verly

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We consider space-time adaptive processing (STAP) in a bistatic radar configuration and when the radar returns are recorded by a conformal antenna array (CAA). The statistics of the secondary data snapshots used to estimate the optimum weight vector are not identically distributed with respect to range, thus preventing the STAP processor from achieving its optimum performance. The compensation of the range-dependence of the secondary data requires the knowledge of the clutter power spectrum locus. This paper proposes a new RANSAC -based method for estimating, in the case of CAAs operating in arbitrary bistatic configurations, the clutter power spectrum locus or, equivalently, the flight configuration parameters. Based on the knowledge of this locus, we can perform a range-dependence compensation of the snapshots to obtain an accurate estimate of the clutter covariance matrix. End-to-end performance analysis in terms of signal to inference-plus-noise ratio loss shows that the method yields promizing performance.

Original languageEnglish
Title of host publicationProceedings of the 3rd European Radar Conference, EuRAD 2006
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
ISBN (Print)2960055179, 9782960055177
DOIs
Publication statusPublished - 2006
Event3rd European Radar Conference, EuRAD 2006 - Manchester, United Kingdom
Duration: 13 Sept 200615 Sept 2006

Publication series

NameProceedings of the 3rd European Radar Conference, EuRAD 2006

Conference

Conference3rd European Radar Conference, EuRAD 2006
Country/TerritoryUnited Kingdom
CityManchester
Period13/09/0615/09/06

Keywords

  • Bistatic
  • Conformal antenna
  • RANSAC
  • Radar
  • Range-dependence
  • Space-time adaptive processing (STAP)

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