Different homogeneity detectors for improving Space-Time Adaptive Radar performance in heterogeneous clutter

M. Bertacca, D. Gray, L. Rosenberg
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引用次数: 2

Abstract

Secondary data selection for estimation of the clutter covariance matrix in space-time adaptive processing (STAP) is normally obtained from cells (range rings) in close proximity of the cell under test. The aim of this paper is the analysis of performance improvement of space-time adaptive radars when secondary data selection is obtained by discriminating between quasi-homogeneous areas on the ground which generate clutter with different statistics (i.e. clutter edges including littoral, farmland-wooded hills or rural-urban interfaces). The algorithm presented in this paper, referred to as the different homogeneity detector (DHD), has been tested with simulated data obtained by using a general clutter model and a uniform linear array.
提高非均匀杂波下空时自适应雷达性能的不同均匀性探测器
时空自适应处理(STAP)中杂波协方差矩阵估计的二次数据选择通常是从离被测单元很近的单元(距离环)中获得的。本文的目的是分析通过区分地面上产生不同统计量杂波的准均匀区域(即杂波边缘包括沿海、农田-树木丘陵或城乡界面)来进行二次数据选择时对时空自适应雷达性能的改善。本文提出的算法被称为不同均匀性检测器(DHD),并通过使用一般杂波模型和均匀线性阵列获得的模拟数据进行了测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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