Joint domain localized processing using measured spatial steering vectors

R. Adve, M. Wicks
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引用次数: 10

Abstract

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.
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利用测量的空间导向向量进行关节域定位处理
联合域局部化(JDL)自适应处理算法减轻了角多普勒域局部化处理区域的干扰。空间和时间方向矢量将在空时域采集的数据转换为角度多普勒域。然而,JDL算法依赖于空间和时间方向向量形成正交集的假设。在实际应用中,由于天线单元之间的相互耦合,空间转向矢量不形成正交集。本文提出了一种改进的JDL算法来考虑这些转向向量的非正交性。多通道机载雷达测量(MCARM)数据库的实例证明了检测能力的提高。
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