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dc.contributor.author Herselman, PL
dc.contributor.author De Wind, HJ
dc.date.accessioned 2009-03-09T10:06:15Z
dc.date.available 2009-03-09T10:06:15Z
dc.date.issued 2008-09
dc.identifier.citation Herselman, PL and De Wind, HJ. 2008. Improved covariance matrix estimation in spectrally inhomogeneous sea clutter with application to adaptive small boat detection. International Conference on Radar, Adelaide, Australia, 2 - 5 September, pp 6 en
dc.identifier.isbn 9781424423217
dc.identifier.uri http://hdl.handle.net/10204/3178
dc.description International Conference on Radar, Adelaide, Australia, 2 - 5 September 2008 en
dc.description.abstract Asymptotically optimal coherent detection techniques yield sub-clutter visibility in heavy-tailed sea clutter. The adaptive linear quadratic detector inherently assumes spectral homogeneity for the reference window of the covariance matrix estimator. This paper investigates the validity of this assumption on real data that have been recorded with medium resolution X-band radar. Proving empirically that this basic assumption is the exception rather than the rule, the effects of spectral in homogeneity are investigated. Various improvements to the current estimator and detector are suggested and evaluated. This is specifically applied to the detection of small rigid inflatable boats, with empirical results presented for a range of boat manoeuvres. A specific example highlights the vulnerability of the chosen detector to self-masking en
dc.language.iso en en
dc.subject Covariance matrix en
dc.subject Sea clutter en
dc.subject Spectral inhomogeneity en
dc.subject Radar en
dc.title Improved covariance matrix estimation in spectrally inhomogeneous sea clutter with application to adaptive small boat detection. en
dc.type Presentation en


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