前视阵列的时空自适应处理

J. T. Caldwell, T. Hale
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引用次数: 3

摘要

本文将时空自适应处理(STAP)应用于前视阵列。传统的STAP研究提供了侧面阵列的结果,其中杂波多普勒和方位角正弦之间存在线性关系。这种关系在向前看的情况下并不成立。此外,侧视情况下的主波束杂波是距离无关的,因此,杂波陷波总是在零赫兹。相比之下,在前视情况下,主波束杂波与距离相关,导致距离模糊杂波产生多个杂波陷波。这种范围依赖性破坏了协方差估计中使用的样本所需的独立的、同分布的假设。该假设仍然适用于小数据集,例如小范围范围。因此,必须使用具有较少自由度和相应较小样本支持要求的部分自适应技术。结果以杂波功率谱密度、信噪比、改进因子、天线方向图和检测概率的形式呈现。
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Space-time adaptive processing for forward looking arrays
The paper applies space-time adaptive processing (STAP) to forward looking arrays. Traditionally, STAP research provides results for a side-looking array where a linear relationship exists between clutter Doppler and azimuth sine. This relationship does not hold in the forward looking case. Additionally, mainbeam clutter in the side-looking boresight case is range independent and, consequently, the clutter notch is always at zero hertz. In contrast, mainbeam clutter is range dependent in the forward looking case, resulting in multiple clutter notches for range ambiguous clutter. This range dependency corrupts the independent, identically distributed assumption required for the samples used in covariance estimation. The assumption can still be applied for a small data set, e.g., small range extent. Therefore, partially adaptive techniques with fewer degrees or freedom and correspondingly smaller sample support requirements must be used. Results are presented in the form of clutter power spectral density, signal-to-interference-plus-noise ratio, improvement factor, antenna patterns, and detection probability.
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