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- W1993328311 abstract "In order to remove undesired outliers contained in training data, a new algorithm of sea clutter covariance matrix estimation with data-adaptive selection (DAS) is proposed. Since the emergence of some outliers imposes spectral distribution of sea clutter, the spectral relative entropy is introduced to measure those impacts. A data-adaptive selector employing spectral relative entropy to describe spectral differences between clutter and outliers is designed to reject contaminated training data. Consequently the clutter covariance matrix can be estimated exactly with no scene prior information. Simulation results confirmed the effectiveness of the proposed algorithm. (5 pages)" @default.
- W1993328311 created "2016-06-24" @default.
- W1993328311 creator A5038390604 @default.
- W1993328311 date "2013-01-01" @default.
- W1993328311 modified "2023-09-26" @default.
- W1993328311 title "Sea clutter covariance matrix estimation with data-adaptive selection" @default.
- W1993328311 doi "https://doi.org/10.1049/cp.2013.0422" @default.
- W1993328311 hasPublicationYear "2013" @default.
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