Space-time adaptive processing with sparse antenna arrays
Space-time adaptive processing with sparse antenna arrays
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DOI：
10.1109/acssc.1998.751584
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发表时间：
1998-11
期刊：
影响因子：
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通讯作者：
J. Ward
中科院分区：
文献类型：
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作者：
J. Ward
稀疏或稀疏阵列可以提供大孔径的分辨率和精度，而无需完全填充阵列的硬件费用。本文研究了稀疏阵列的机载雷达，采用空时自适应处理（STAP），以抑制地杂波的应用。结果表明，杂波协方差矩阵的秩依赖于精确的稀疏配置。杂波协方差矩阵的上限和下限。如果在相干处理间隔期间对所有潜在的合成孔径位置进行至少一次采样，则不规则间隔的稀疏阵列可以具有与填充阵列相同的秩。具有不规则间隔阵列的波束空间STAP方法通常需要比填充阵列更多的自由度（DOF），因为稀疏阵列波束空间变换通常不能影响偏移的子孔径波束。在具有额外的自由度（并且仍然远小于完全自适应）的情况下，随机间隔的稀疏阵列波束空间方法仍然能够提供相对低的损耗，并且避免由规则间隔的稀疏阵列产生的额外的角度多普勒盲区。
Sparse, or thinned arrays can provide the resolution and accuracy of a large aperture without the hardware expense of a fully populated array. This paper examines application of thinned arrays to an airborne radar that employs space-time adaptive processing (STAP) to reject ground clutter. It is shown that the rank of the clutter covariance matrix depends on the precise thinned configuration. Upper and lower bounds for the clutter covariance matrix are provided. An irregularly spaced thinned array can have the same rank as a filled array if all potential synthetic aperture positions get sampled at least once during the coherent processing interval. Beamspace STAP approaches with irregularly spaced arrays generally require more degrees of freedom (DOF) than that of a filled array because a thinned array beamspace transform cannot generally effect shifted subaperture beams. With additional DOF (and still much less than fully adaptive) a randomly spaced thinned array beamspace approach call still provide relatively low loss and avoid the additional angle-Doppler blind zones that result from regularly spaced thinned arrays.