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In this paper, we study the problem of automatic target detection in Weibull clutter and multiple target situations, without any prior knowledge of neither the non-stationary clutter statistics in which the radar operates nor the number of outliers that may be present in the reference window. In doing this, we develop the Forward/Backward Order Statistic Automatic Censoring and Detection Constant...
In this paper, we propose an efficient approach to the estimation of the compound K-distribution parameters in presence of additive thermal noise. This is acquired by means of a multidimensional unconstrained nonlinear minimization algorithm based upon the Nelder-Mead direct search method. In doing this, we minimize the sum of squared residuals. The best fit is simply achieved by a direct comparison...
In this paper, we address the problem of automatic target detection in Weibull clutter and multiple target situations, without any prior knowledge of neither the non stationary clutter statistics in which the radar operates nor the number of outliers that may be present in the reference window. In doing this, we develop the forward and backward order statistic automatic constant false censoring and...
In automatic radar detection, performance of time diversity systems is proved to be sensitive to how the multiple-pulse sample echoes, from commonly encountered nohomogeneities, are accumulated within the same receiver. Based upon the ldquonon conventional time diversity systemrdquo(NCTDS), we derive exact expressions for the probabilities of false alarm and detection of a pulse-to pulse partially...
In automatic detection, performance of time diversity systems is proved to be sensitive to how the multiple-pulse sample echoes, from commonly encountered nohomogeneities, are accumulated within the same receiver. Based upon the "non conventional time diversity system"(NCTDS), we derive exact expressions for the probabilities of false alarm and detection of a pulse-to-pulse partially correlated...
The problem of adaptive CFAR detection of a pulse-to-pulse partially correlated target with 2 K degrees of freedom in a pulse-to-pulse partially Rayleigh correlated clutter and multiple target situations is addressed. The target and the clutter covariance matrices are modeled as first-order Markov processes. The probability of detection for the mean level (ML) detector is shown to be sensitive to...
In radar systems, detection performance is always related to target models and background environments. In time diversity systems, the probability of detection is shown to be sensitive to the degree of correlation among the target echoes. In this paper, we derive exact expressions for the probabilities of false alarm and detection of a pulse-to-pulse partially correlated target with 2K degrees of...
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