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- W2016502930 abstract "An adaptive detection procedure is described by which the detection threshold is so adjusted as to provide an asymptotic false-alarm probability PFA that is approximately invariant with changes in radar clutter return amplitude probability density functions (pdf's) in a broad class. The class includes Rayleigh, chi, Weibull, and lognormal pdf's. The receiver noise is also taken into account. The clutter-plus-noise pdf is approximated by a truncated generalized Laguerre series, the coefficients of which are estimated from the radar returns using cell averaging techniques. This estimation is assumed to be perfect. The results obtained indicate that the error, defined as the normalized difference between the design PFA and the asymptotic PFA corresponding to the computed threshold, lies within a fraction of an order of magnitude for 10-3?PFA ? 10-6. For PFA ?10-6 the bias error is more than an order of magnitude. These results are for the case when a single independent radar return is processed at a time. The bias error decreases as the number of postdetection integrations of independent returns increases." @default.
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- W2016502930 modified "2023-09-23" @default.
- W2016502930 title "Adaptive Radar Detection with Asymptotically Regulated False-Alarm Rate" @default.
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- W2016502930 doi "https://doi.org/10.1109/taes.1977.308473" @default.
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