中文说明：空时自适应处理用于在机载雷达杂波抑制。在本文中，由于这样的事实，空时自适应处理算法需要估计协方差矩阵、 有限的培训数据和加工中的高度复杂性介绍了确定性杂波的子空间和直接数据域方法。在第一次提出的方法中，滤波器系数和计算了机载雷达参数估计也干扰矩阵的计算。同样还会计算估计参数的敏感性。通过扩展杂波的子空间，提出的方法可以得到更鲁棒参数估计。在其他拟议的方法中，直接数据域用于计算系数向量。最后，试图通过利用其他方法 （例如使用更多的水龙头和确定性的杂波的子空间提高我们提出的算法性能。
English Description：
Space-time adaptive processing is used for clutter mitigation in airborne radars. In this paper, Deterministic clutter subspace and direct data domain methods are introduced due to the fact that space-time adaptive processing algorithm requires estimating covariance matrix, limited training data and high complexity in processing. In first proposed method, filter coefficients are calculated by estimating airborne radar parameters and also calculating of interference matrix. The sensitivity of estimated parameter is also calculated. By extending clutter subspace, the proposed method could be get more robust against parameter estimation. In other proposed method, direct data domain is used for calculating coefficients vector. Finally, tried to improve the performance of our proposed algorithms by utilizing other methods such as using more taps and deterministic clutter subspace.