一种用于机载传感器阵列的两步自适应干扰消除算法

D. Marshall
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引用次数: 23

摘要

在机载雷达系统中,采用自适应干扰消零技术对阵列输出的多时间采样进行相干处理,可以抑制干扰和地杂波干扰。这种时空零化问题可能会在获得足够的样本进行自适应训练方面带来特殊的困难。本文的主题是一种分两个阶段消除干扰和杂波的算法。杂波在降维的信号子空间中被消零。这种方法最好地利用了可用的训练数据,并在最需要的地方保持了零自由度。性能用林肯实验室的山顶雷达系统获得的数据来说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Two Step Adaptive Interference Nulling Algorithm For Use With Airborne Sensor Arrays
In airborne radar systems, both jamming and ground clutter interference can be suppressed by coherently processing multiple time samples of the array output using adaptive interference nulling techniques. This space-time nulling problem may present special difficulties with regard to the availability of sufficient samples for adaptive training. The subject of this paper is an algorithm which nulls jamming and then clutter in two separate stages. The clutter is nulled in a signal subspace of reduced dimension. This approach makes the best use of the available training data, and maintains nulling degrees of freedom where they are most needed. Performance is illustrated with data obtained from Lincoln Laboratory's Mountaintop radar system.
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