MTI雷达中基于子空间分解的杂波抑制算法

最优MTI滤波器的权值与目标的多普勒频率有关，传统的MTI雷达需要利用一组能覆盖目标多普勒频率范围的并行滤波器组来实现最佳滤波。本文提出了一种算法，通过子空间分解法直接求取滤波器的权系数，由于无需多普勒滤波器组，系统的复杂度得到了降低。为了适应杂波的变化，本文还推导了该算法基于幂迭代的自适应过程。仿真结果表明：在不同的杂波环境下，该算法均有良好的MTI改善因子。

Clutter suppression algorithm based on subspace decomposition in MTI radar

The weight of the optimum MTI filter is determined by the Doppler shift of the desired target. Parallel filter bank is required in the conventional MTI radar in order to cover the probable Doppler shift range. A new algorithm is proposed in this paper. The weight of the optimum filter can be calculated directly based on the subspace decomposition algorithm. The system complexity is then reduced because no filter bank is required. In order to fit the variation of clutter, we furtherly derive the adaptive implementation of the proposed algorithm employing the power iteration method. Simulation results demonstrate that the proposed algorithm has good MTI improvement factor in various clutter environments.