In this paper, we address the problem of detecting a Noise-Like Jammer (NLJ) that does not quickly transmit all the available power but it gradually increases the transmitted power. This control strategy would prevent conventional electronic counter-countermeasures from revealing the presence of a noise power discontinuity in the window under test. As a consequence, the radar system under attack becomes blind requiring a reaction by an expert operator. In order to face such a situation, we devise two innovative NLJ detection architectures by assuming at the design stage specific models for the NLJ power variation. The first model is based on a linear variation law over the observation time, whereas in the second model, the NLJ power experiences unconstrained fluctuations in the window under test. Under these hypotheses, we resort to ad hoc modifications of the generalized likelihood ratio test, where the unknown parameters are replaced by suitable estimates obtained through iterative procedures. The performance analysis, carried out using synthetic data, shows the effectiveness and superiority of the proposed detectors over the conventional approach.

中文翻译：

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雷达系统对抗智能噪声干扰器的 ECCM 策略


在本文中，我们解决了检测类噪声干扰器（NLJ）的问题，该干扰器不会快速发射所有可用功率，而是逐渐增加发射功率。这种控制策略将防止传统的电子对抗措施揭示被测窗口中存在噪声功率不连续性。结果，受到攻击的雷达系统变得盲目，需要专家操作员做出反应。为了面对这种情况，我们通过在设计阶段假设 NLJ 功率变化的特定模型，设计了两种创新的 NLJ 检测架构。第一个模型基于观察时间的线性变化规律，而在第二个模型中，NLJ 功率在测试窗口中经历不受约束的波动。在这些假设下，我们对广义似然比检验进行临时修改，其中未知参数被通过迭代过程获得的合适估计所取代。使用合成数据进行的性能分析显示了所提出的检测器相对于传统方法的有效性和优越性。