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Geometry-aided subspace projection for mitigating range-dependence of the clutter spectrum in forward-looking airborne radar

机译:几何辅助子空间投影,用于减轻杂波谱在前瞻性空中雷达中的杂波谱的范围依赖性

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The clutter suppression of space-time adaptive processing (STAP) will degrade severely in forward-looking airborne radar if the range-dependence of clutter spectrum is not compensated correctly. In this paper, a new method for mitigating the range-dependence of the clutter spectrum based on the geometry-aided subspace projection is proposed. In the proposed method, the clutter covariance matrix of the range under test is firstly constructed based on the prior knowledge of antenna array configuration, and then the clutter subspace projection matrix is obtained by decomposing the corresponding covariance matrix. In the following, the mitigation of the range-dependence is accomplished by applying this clutter subspace projection matrix to transform the secondary range samples to obtain an approximate clutter subspace with the range under test. The simulation results show that the proposed method can mitigate the range-dependence significantly.
机译:如果没有正确补偿杂波谱的范围依赖性,则时空自适应处理(STAP)的杂波抑制将严重降低前瞻性的机载雷达。在本文中,提出了一种基于几何辅助子空间投影来缓解杂波谱的范围依赖性的新方法。在该方法中,首先基于天线阵列配置的先验知识来构造测试范围的杂波协方差矩阵,然后通过分解相应的协方差矩阵来获得杂波子空间投影矩阵。在下文中,通过应用该杂波子空间投影矩阵来实现依赖的范围依赖性,以将二次范围样本变换以获得具有被测范围的近似杂波子空间。仿真结果表明,该方法可显着降低范围依赖性。

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