With the advancement of active jamming technology, a variety of new types of coherent jamming based on digital radio frequency memory have been proposed and implemented in practice, posing serious threats to modern radar systems due to their flexibility, suppression, and deception characteristics. Hence the research on radar echo extraction is necessary and challenging. In this paper, we focus on removing interference from received time-frequency overlapping signals,and the anti-jamming problem is transformed into one linear underdetermined blind source separation model in a dual-channel receiving scenario. The feasible solution is found by utilizing the observation submatrices to convert the observed signal features to a new representation, which originates from sparse component analysis. Simulations demonstrate that the developed technique outperforms standard interference countermeasures in terms of signal-to-interference ratio and target identification performance, which are critical for anti-jamming.

中文翻译：

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基于观测子矩阵的雷达回波提取排序方法

随着有源干扰技术的进步，多种基于数字射频存储器的新型相干干扰被提出并在实践中实现，其灵活性、抑制性和欺骗性等特点对现代雷达系统构成了严重威胁。因此雷达回波提取的研究是必要且具有挑战性的。本文主要研究去除接收到的时频重叠信号中的干扰，并将抗干扰问题转化为双通道接收场景下的一种线性欠定盲源分离模型。通过利用观测子矩阵将观测到的信号特征转换为新的表示形式来找到可行的解决方案，该表示形式源自稀疏分量分析。