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Robust space-time adaptive processing in heterogeneous environment with internal clutter motion

机译:具有内部杂波运动的异构环境中的鲁棒时空自适应处理

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Conventional STAP algorithm can place notch adaptively in the direction of clutter. However, due to the time lag of adaptive weight, data mismatch may occur. Therefore, a approach is presented which can wide the notch. The new method constructs a temporal decorrelation matrix which is used to modify the clutter space-time covariance matrix and get adaptive weight. The new approach forms notch which width can be modified centered around the clutter direction, and the increased computation complex is little. Performance analysis is carried out using simulated data as well as measured data from Mountaintop experiment. The numeric results show good agreement with the proposed theorem.
机译:常规的STAP算法可以在杂波方向上自适应地设置陷波。但是,由于自适应权重的时间滞后,可能会出现数据不匹配的情况。因此,提出了一种可以扩大缺口的方法。该新方法构造了时间去相关矩阵,该时间去相关矩阵用于修改杂乱的时空协方差矩阵并获得自适应权重。新方法形成了可以在杂波方向上以中心为单位修改宽度的陷波,并且增加的计算复杂度很小。使用模拟数据以及来自Mountaintop实验的测量数据进行性能分析。数值结果与所提出的定理吻合良好。

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