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• W2803131504 abstract "Radar backscatter from the sea-surface is typically non-stationary and may contain sea-spikes which resemble targets and can cause false detections in a radar system. To improve detection performance, this paper investigates a technique based on stationary wavelet transforms (SWT) and demonstrates its performance on both monostatic and bistatic sea-clutter data. By exploiting the different components (sub-bands) of the SWT decomposition, this technique can better distinguish between the different spectral components of the returned signal. The detection performance is measured by Monte Carlo simulation with a cell averaging constant false alarm rate (CA-CFAR) detector. The most appropriate choice of sub-band is selected using an a entropy based metric." @default.
• W2803131504 created "2018-06-01" @default.
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• W2803131504 date "2017-01-01" @default.
• W2803131504 modified "2023-09-25" @default.
• W2803131504 title "Target Detection in Bistatic Radar Sea Clutter Using Stationary Wavelet Transforms" @default.
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• W2803131504 doi "https://doi.org/10.1049/cp.2017.0498" @default.
• W2803131504 hasPublicationYear "2017" @default.
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