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OUTLINE OF DETECTION THEORY
OUTLINE OF ESTIMATION THEORY
Adaptive Threshold CFAR Processors
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Aerospace and Electronic alarm probability amplitude analysis antenna approximately assumed asymptotic binary integrator calculated cell averaging CFAR loss CFAR processor constant contaminated-normal correlation covariance covariance matrix detection performance detection probability determined envelope detector environment equations error estimate false alarm rate false-alarm probability fluctuating targets Gaussian noise given IEEE Trans independent Information Theory input Kalman filter log-normal clutter log-normal distribution logarithmic receiver maneuver median detector Monte Carlo noise power noise power density non-Gaussian nonfluctuating nonparametric nonparametric detector normal number of pulses obtained optimal optimum output parameters probability density function probability of detection procedure processing quantized Radar Detection random variables range rank Rayleigh distribution reference noise Reprint Paper resolution cell scanning radar sea clutter sensor shown in Fig signal signal-to-noise ratio statistics Swerling technique tion tracking filter variance vector velocity Weibull clutter Weibull distribution Wiener filter