Authors: Ferrat S Crochet M
Publish Date: 1994/05/31
Volume: 12, Issue: 6, Pages: 489-496
Abstract
Abstract The classical theory of detection using the NeymanPearson principle is applied to stratospheretroposphere ST radar signals It is extended to provide information regarding the detection of weak signals which complements the detectability method usually employed in ST radar studies It is shown that for ST radar signals of low amplitude and a detectability around 3 a value commonly invoked in literature the probability of detection is about equal to the probability of false alarm The question of threshold detectability is also discussedSpectral moments errors are evaluated by a method which is an extension of the analytical method of estimation developed by Miller and Rochwarger and the results compared to other statistical and analytical models As already known three factors can affect the error on the estimated parameters the signaltonoise ratio the spectral width and the incoherent integration number For high signaltonoise ratios analytical results are in good agreement with Barricks and Denenbergs theoretical models and with Yamamotos statistical one For low signaltonoise ratios the spectral parameters are more sensitive to the selected model but overall variability is similar
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