基于空时插值的机载雷达杂波距离依赖性补偿方法

杂波距离依赖性是机载前视阵雷达与双基机载雷达面临的重要问题，主要表现在其统计特性随距离而变化,导致杂波协方差矩阵估计不准确，进而使得空时自适应处理（space-time adaptive processing, STAP）性能下降。针对这种情况，提出了一种基于空时插值的杂波距离依赖性补偿方法。该方法通过雷达先验知识分别得到参考距离单元和待补偿距离单元杂波的两组导向矢量，然后对这两组导向矢量进行子空间拟合，利用得到的拟合矩阵作用于数据来补偿杂波距离依赖性，并且为了避免拟合过程中出现目标相消，增加了动目标保护约束。仿真实验结果表明了所提方法的有效性。

Compensation of clutter range dependence for airborne radar based on space-time interpolation

The clutter range dependence is a key problem of forward looking radar and bistatic airborne radar. It means that the clutter characteristic statistics change with range variation, which leads to an incorrect estimation of the clutter covariance matrix and results in low performance for space-time adaptive processing (STAP). To deal with this problem, a new method based on space time interpolation is proposed. The method gets two groups of steering vectors from the referenced range and the range under test by using the owned knowledge, then takes subspace fitting theory to interpolate the range clutter to the referenced range clutter, what is more, adds the moving target restriction to avoid target elimination. Computer simulations show the efficiency of the method.