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Space-time adaptive processing for forward looking arrays

机译:前瞻性阵列的时空自适应处理

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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.
机译:本文将空时自适应处理(STAP)应用于前瞻性阵列。传统上,STAP研究会为侧面阵列提供结果,杂波多普勒和方位正弦之间存在线性关系。这种关系在前瞻性情况下不成立。另外,在侧视视轴情况下的主光束杂波是与范围无关的,因此,杂波槽口始终为零赫兹。相反,在前瞻情况下,主光束杂波取决于范围,从而导致距离杂乱的杂波出现多个杂波槽口。此范围依赖性破坏了协方差估计中使用的样本所需的独立且分布均匀的假设。该假设仍可适用于较小的数据集,例如较小的范围范围。因此,必须使用具有较少程度或自由度以及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,信号干扰加噪声比,改善因子,天线方向图和检测概率的形式表示。

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