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Radar detection probabilities and their calculation

机译:雷达探测概率及其计算

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Most radar targets are complex objects and produce a wide variety of reflections. Different targets often require different models to characterize the varied statistical nature of these responses. Several commonly used statistical models and extensions to them are considered here along with techniques for reliably calculating the resulting probabilities of detection. Marcum (1960) and Swerling (1960, 1965, 1970) have provided us with expressions for constant and some fluctuating targets, respectively. Expressions for the probability of detection for cell-averaging constant false alarm rate (CFAR) have been given by Mitchell and Walker (1971), but only for clutter cells whose input to the receiver was assumed to be zero mean Gaussian clutter. These CFAR results have been generalized here for non-zero mean clutter. We have replaced the chi-square distribution for clutter with a noncentral chi-square distribution allowing for a non-zero mean. Other fluctuation models, such as log-normal, Weibull, and Ricean models, are considered for both target and clutter fluctuations. Methods for false alarm calculations are also given. Reliable algorithms for the computations of these detection probabilities are determined for the various models. Though reliability is primary, efficiency, generality and accuracy are also issues of concern
机译:大多数雷达目标都是复杂的物体,会产生各种各样的反射。不同的目标通常需要不同的模型来表征这些响应的不同统计性质。这里考虑几种常用的统计模型及其扩展,以及可靠地计算所得检测概率的技术。 Marcum(1960)和Swerling(1960,1965,1970)分别为我们提供了恒定目标和一些波动目标的表达式。 Mitchell和Walker(1971)给出了小区平均恒定虚警率(CFAR)的检测概率表达式,但仅针对那些向接收器输入为零平均高斯杂波的杂波小区。这些CFAR结果已针对非零均值杂波进行了概括。我们已将杂波的卡方分布替换为允许非零均值的非中心卡方分布。目标和杂波的波动都考虑了其他波动模型,例如对数正态,Weibull和Ricean模型。还给出了错误警报计算的方法。对于各种模型,确定了用于计算这些检测概率的可靠算法。尽管可靠性是第一位的,但效率,通用性和准确性也是值得关注的问题

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