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 |
Conference Presentation |
en |
dc.identifier.apacitation |
Herselman, P., & De Wind, H. (2008). Improved covariance matrix estimation in spectrally inhomogeneous sea clutter with application to adaptive small boat detection. http://hdl.handle.net/10204/3178 |
en_ZA |
dc.identifier.chicagocitation |
Herselman, PL, and HJ De Wind. "Improved covariance matrix estimation in spectrally inhomogeneous sea clutter with application to adaptive small boat detection." (2008): http://hdl.handle.net/10204/3178 |
en_ZA |
dc.identifier.vancouvercitation |
Herselman P, De Wind H, Improved covariance matrix estimation in spectrally inhomogeneous sea clutter with application to adaptive small boat detection; 2008. http://hdl.handle.net/10204/3178 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Herselman, PL
AU - De Wind, HJ
AB - 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
DA - 2008-09
DB - ResearchSpace
DP - CSIR
KW - Covariance matrix
KW - Sea clutter
KW - Spectral inhomogeneity
KW - Radar
LK - https://researchspace.csir.co.za
PY - 2008
SM - 9781424423217
T1 - Improved covariance matrix estimation in spectrally inhomogeneous sea clutter with application to adaptive small boat detection
TI - Improved covariance matrix estimation in spectrally inhomogeneous sea clutter with application to adaptive small boat detection
UR - http://hdl.handle.net/10204/3178
ER -
|
en_ZA |