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- W3165070978 abstract "This paper addresses the problem of target detection against a background of Gaussian clutter by using frequency snapshots with reduced degrees of freedom (DOF). We derive the optimal detector and detection performance under the Neyman-Pearson criterion for general frequency snapshot selection with arbitrary DOF. When the clutter statistics are unknown, we use a uniformly random frequency snapshot selection method and show how the DOF employed affects the detection performance. When the clutter return follows a stationary Gaussian distribution with slowly varying power spectral density, the optimal selection is derived. When the clutter is composed of reflected versions of the transmitted waveforms, a greedy-based method for selecting the frequency snapshots is presented. Numerical experiments show that a receiver with reduced DOF can lead to detection performance which is very close to that of the receiver with full DOF." @default.
- W3165070978 created "2021-06-07" @default.
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- W3165070978 date "2021-01-01" @default.
- W3165070978 modified "2023-10-16" @default.
- W3165070978 title "Receiver Design With Reduced DOF in Frequency Domain for Target Detection Under Gaussian Clutter" @default.
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- W3165070978 doi "https://doi.org/10.1109/tsp.2021.3082463" @default.
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