2010
DOI: 10.1109/taes.2010.5545205
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Impact of Sea Clutter Nonstationarity on Disturbance Covariance Matrix Estimation and CFAR Detector Performance

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Cited by 69 publications
(36 citation statements)
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“…This phenomenon has been already observed and explained in [36]. For this reason, the values of P FA are not constant over the entire range, and their spread is larger if the SCM estimate is used and reduced if either the NSCM or FP estimates are employed.…”
Section: False Alarm Regulationmentioning
confidence: 64%
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“…This phenomenon has been already observed and explained in [36]. For this reason, the values of P FA are not constant over the entire range, and their spread is larger if the SCM estimate is used and reduced if either the NSCM or FP estimates are employed.…”
Section: False Alarm Regulationmentioning
confidence: 64%
“…For this reason, the values of P FA are not constant over the entire range, and their spread is larger if the SCM estimate is used and reduced if either the NSCM or FP estimates are employed. The SCM estimate is not accurate in the case that the clutter is not Gaussian, whereas the NSCM and FP estimates are more accurate [5,36].…”
Section: False Alarm Regulationmentioning
confidence: 98%
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“…More recently, it has been understood that the SIRP model may not always be appropriate when applied to sea clutter, due to nonstationary behaviour of the clutter spectra. This has been investigated by [3,4], looking at the performance of so-called matched filter detectors in real clutter, which do not always achieve the performance predicted by idealised modelling.…”
Section: Introductionmentioning
confidence: 99%