基于自适应局域变换的离散干扰抑制算法

在非均匀杂波环境中,针对待检测距离单元的离散干扰严重影响统计空时自适应处理(STAP)杂波抑制性能的问题,提出了基于自适应局域变换的离散干扰抑制算法。该方法利用自适应局域变换矩阵具有局域变换和自适应滤波的双重特性,在较低计算复杂度条件下有效消除离散干扰对统计STAP方法的影响。仿真数据和MCARM实测数据分析表明,该方法能有效抑制待检测距离单元中的离散干扰和均匀杂波,显著改善STAP在非均匀杂波中的性能。

Discrete Interference Suppression Method Based on Adaptive Localized Domain Transformation in Nonhomogeneous Clutter

The discrete interference could not be suppressed by the statistical STAP algorithms in the nonhomogeneous clutter, which leads the moving target detection performance to be degraded significantly. The discrete Interference suppression method based on adaptive localized domain transformation is proposed. In the proposed method, the adaptive localized transformation matrix is formed by a series of direct data domain （ DDD） adaptive weight vector in the different angles-Doppler direction, which can suppress the discrete interference and the residual clutter in the range cell under test significantly. According to the results by using the simulated data and real MCARM data, it is found that the proposed method can improve the STAP performance in non-homogeneous clutter significantly.