Weibull Radar Clutter
The material presented in this book is intended to provide the reader with a practical treatment of Weibull distribution as applied to radar systems. Topics include general derivation of Weibull distribution, measurements of Weibull-distribution clutter, comparison of Weibull distribution including Rayleigh, gamma, log-normal and k- distributions, constant false alarm rate (CFAR) detectors for Weibull clutter, non-parametric CFAR detectors, and signal detection in the time and frequency domains. In particular, the Akaike information Criterion (AIC), which is a rigorously mathematical fit of the hypothetical distribution to the data, is emphasised.
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adaptive detector amplitude distribution antenna asymptotic azimuth backscatter backscatter coefficient beamwidth better fit binary integrator cell-average CFAR detector CFAR detector Chernoff bound clutter data clutter distribution correlation depression angle detection loss detection performance detector in Weibull efficacy envelope detector estimated false-alarm probability false-alarm rate filter fitted with Weibull frequency grazing angle ground clutter horizontal polarisation IEEE IEEE Trans K-distribution known a priori linear log-normal clutter log-normal distribution logarithmic n-miles non-parametric CFAR detector normalised number of pulses number of reference obtained optimum output probability density function pulse-train signals radar clutter range sweep numbers Rayleigh clutter Rayleigh distribution reference cells resolution cell RMSE samples scan Schleher sea clutter sea-clutter sea-ice clutter Sekine shape parameter shown in Fig signal detection spatial Swerling Table target signal terrain threshold characteristic Trizna Tugnait weather clutter Weibull clutter Weibull distribution wind speed