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Joint domain localized processing using measured spatial steering vectors

机译:使用测得的空间导向向量进行联合域局部化处理

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The joint domain localized (JDL) adaptive processing algorithm mitigates interference in a localized processing region in the angle-Doppler domain. Spatial and temporal steering vectors transform the data collected in the space-time domain to the angle-Doppler domain. However, the JDL algorithm depends on the assumption that the spatial and temporal steering vectors form an orthogonal set. In practice, due to the mutual coupling between antenna elements, the spatial steering vectors do not form an orthogonal set. This paper presents a modification of the JDL algorithm to account for the non-orthogonality of these steering vectors. Examples from the multichannel airborne radar measurement (MCARM) database demonstrate the improvement in detection capability.
机译:联合域局部(JDL)自适应处理算法可减轻角度多普勒域中局部处理区域中的干扰。空间和时间导向向量将在时空域中收集的数据转换为角度多普勒域。但是,JDL算法取决于以下假设:空间和时间转向矢量形成正交集。实际上,由于天线元件之间的相互耦合,空间导引矢量不形成正交集。本文提出了一种JDL算法的改进方案,以解决这些导向向量的非正交性问题。来自多通道机载雷达测量(MCARM)数据库的示例证明了检测能力的提高。

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