Author :
Ephrath, Abner ; Eshcoli, Ziv ; Berkowitz, Fred
Abstract :
This article presents a method for calculating the threshold level and probability of detection of χ2 radar targets, in the presence of Weibull clutter. It is based on mathematical models for general χ2 targets [1], of which the four Swerling models are special cases. The model used for the clutter, including both the ground reflection variations and near ground propagation effects, has Weibull distribution [2]. Assuming the returns of the clutter are so distributed, the distribution parameters can either be estimated by the land type, or calculated from clutter measurements. Using these parameters, an expression is obtained for the probability of false alarm, Pfa, for a given single pulse threshold T1. This is inverted to provide an expression for the threshold T1 for any given Pfa. The probability density function (pdf) for target + clutter, assuming the two are uncorrelated, is the convolution of the two marginal pdf´s. This density is given in an integral form that has no known analytical solution [3]. However, using the expression for this pdf, probability of detection, Pd, is expressed as a definite integral with finite limits of this pdf. Using advanced mathematical software, e.g. Matlab®, the definite double integral for Pd is numerically calculated. Simplification and generalization of the convolution formula via normalization, and some computational results conclude the presentation. These computations, without the need for tables and graphs, enable the researcher to use it conveniently in system performance evaluations as well as in scenario simulations for given environments as required.
Keywords :
Weibull distribution; probability; radar clutter; radar target recognition; radiowave propagation; Swerling model; Weibull clutter measurement; Weibull distribution; advanced mathematical software; convolution formula; distribution parameter; false alarm probability; ground reflection variation; mathematical model; near ground propagation; performance evaluation; probability density function; radar target detection probability; single pulse threshold level; Clutter; Mathematical model; Probability density function; Radar cross section; Radar detection; Weibull distribution; χ2 target; Binary integration; Clutter; Radar detection; Weibull distribution;
Conference_Titel :
Microwaves, Communications, Antennas and Electronics Systems (COMCAS), 2011 IEEE International Conference on