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Measurement and modelling of bistatic radar sea clutter

dc.contributor.authorGriffiths, H D
dc.contributor.authorAl-Ashwal, W.A.
dc.contributor.authorWard, K.D.
dc.contributor.authorTough, R.J.A
dc.contributor.authorBaker, Christopher
dc.contributor.authorWoodbridge, Karl
dc.date.accessioned2015-12-10T23:01:00Z
dc.date.issued2010
dc.date.updated2016-02-24T11:02:24Z
dc.description.abstractBistatic radar is a subject of considerable present interest. Despite this, current understanding of the properties of bistatic clutter, and in particular, bistatic sea clutter, is limited at best. The purpose of this study is to present an analysis of the limited existing published radar data and to derive an empirical model, which expresses the variation of mean σ0 with the measurement geometry and sea conditions. This empirical model is then compared with electromagnetic (EM) scattering calculations using the composite model (sometimes called the two-scale model) to show the extent to which the EM model is able to reproduce the trends observed in the data. The results indicate where improvements to bistatic EM modelling are required (very low grazing angles and out-of-plane scattering), and a general need for more radar data to extend the empirical σ0 model and expand it to the bistatic clutter statistics.
dc.identifier.issn1751-8784
dc.identifier.urihttp://hdl.handle.net/1885/61584
dc.publisherInstitution of Engineering and Technology (IET)
dc.sourceIET Radar, Sonar & Navigation
dc.subjectKeywords: Bistatic; Bistatic radars; Clutter statistics; Composite models; Empirical model; Low grazing angles; Measurement geometry; Out-of-plane; Radar data; Scattering calculations; Sea clutters; Two-scale model; Dielectric properties; Radar; Radar clutter; Rada
dc.titleMeasurement and modelling of bistatic radar sea clutter
dc.typeJournal article
local.bibliographicCitation.issue2
local.bibliographicCitation.lastpage292
local.bibliographicCitation.startpage280
local.contributor.affiliationGriffiths, H D, University College London
local.contributor.affiliationAl-Ashwal, W.A., University College London
local.contributor.affiliationWard, K.D., Igence Ltd
local.contributor.affiliationTough, R.J.A, Igence Ltd
local.contributor.affiliationBaker, Christopher, College of Engineering and Computer Science, ANU
local.contributor.affiliationWoodbridge, Karl, University College London
local.contributor.authoruidBaker, Christopher, u4602951
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor090609 - Signal Processing
local.identifier.absseo970109 - Expanding Knowledge in Engineering
local.identifier.ariespublicationu4334215xPUB622
local.identifier.citationvolume4
local.identifier.doi10.1049/iet-rsn.2009.0124
local.identifier.scopusID2-s2.0-77953567587
local.type.statusPublished Version

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