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- W2760358621 abstract "In this letter, we address adaptive radar detection of point-like targets in Gaussian clutter with an unknown covariance matrix. To this end, we first exploit the symmetrically structured power spectral density of the clutter to transfer data from the complex to the real domain. Then, the spillover of target energy is incorporated into the design criteria to come up with two architectures capable of guaranteeing improved detection performances and range estimation. The performance assessments, conducted on both simulated data and real recorded datasets, demonstrate the effectiveness of the newly proposed detectors compared with the state-of-the-art counterparts, which ignore either the clutter spectral symmetry or the energy spillover." @default.
- W2760358621 created "2017-10-06" @default.
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- W2760358621 date "2017-11-01" @default.
- W2760358621 modified "2023-10-14" @default.
- W2760358621 title "Adaptive Detection and Range Estimation of Point-Like Targets With Symmetric Spectrum" @default.
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- W2760358621 doi "https://doi.org/10.1109/lsp.2017.2756076" @default.
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