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- W2108374623 abstract "When high-resolution algorithm is applied in ship-borne radar, high-resolution algorithm's non-linearity and distributional characteristics before high-resolution processing determine background clutter's distributional characteristics after high-resolution and detector design afterwards. The statistical model of first-order Bragg lines and second order components of sea clutter is put forward. Then by using higher-order cumulative quantity's statistical verification of actually measured data, it is concluded that background noise before high-resolution conforms to normal distribution in ship-borne radar. The numerical domains distribution after high-resolution is determined by improved minimum entropy clutter characteristics recognition method based on rule AIC. This identification method has higher recognition rate. It is verified that background noise after high-resolution by pre-whitened-MUSIC conforms to lognormal distribution." @default.
- W2108374623 created "2016-06-24" @default.
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- W2108374623 date "2005-08-03" @default.
- W2108374623 modified "2023-09-26" @default.
- W2108374623 title "Background Noise Distribution after High-Resolution Processing in Ship-Borne Radar" @default.
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- W2108374623 doi "https://doi.org/10.1109/icita.2005.86" @default.
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