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介绍了一大类具有恒虚警率(CFAR)的自适应阵检测算法,虚警率可以在未知噪声协方差阵前提下设置成任意的预定值。这类算法可以结合任何常用的单元平均法和阵列权矢量综合的方法。本文推导出在实际应用中容易满足CFAR的充分条件,讨论了基本的系统参数,并举例说明用MonteCarlo法模拟可获得简单单元平均检测的检测性能,其中阵列权矢量用对角线加载法进行综合。
A large class of adaptive array detection algorithms with CFAR are introduced. The false alarm rate can be set to any predetermined value under the premise of unknown noise covariance matrix. Such algorithms can be combined with any commonly used method of unit averaging and array weight vector synthesis. In this paper, the sufficient conditions for CFAR to be easily met in practical applications are discussed, the basic system parameters are discussed, and the detection performance of average unit detection using Monte Carlo simulation is illustrated. The array weight vector is synthesized by diagonal loading .