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本文介绍了一种由相干Ｋ分布和高斯分布杂波源混合产生的雷达回波的数学模型。并在似然比检验基础上，提出了检测上述干扰和热噪声背景下一事先已知目标的最佳对策。为评估接收机工作特性（ＲＯＣ），进行了ＭｏｎｔｅＣａｒｌｏ模拟。还计算出了作为下列参数的对给定虚警概率的检测概率：信噪比、Ｋ分布杂波与噪声比、高斯分布杂波与噪声比、积分脉冲数、阶参数ｖ、Ｋ杂波和高斯干扰的相关长度等。另外，把这种检测器的性能与仅考虑Ｋ分布杂波或是高斯杂波中一种类型干扰所设计的检测器的性能作了比较。
This paper presents a mathematical model of radar echoes resulting from a mixture of coherent K-distribution and Gaussian distribution noise sources. Based on the likelihood ratio test, the best countermeasure to detect a previously known target in the background of interference and thermal noise is proposed. To evaluate receiver operating characteristics (ROC), Monte Carlo simulations were performed. The probability of detection for a given false alarm probability is also calculated as the following parameters: signal to noise ratio, K distribution clutter to noise ratio, Gaussian distribution clutter to noise ratio, integral pulse number, order parameter v, K clutter sum Gaussian interference related length and so on. In addition, the performance of this detector is compared to the performance of a detector designed to account for only one type of interference in K-distributed or Gaussian clutter.