一种有效的直接数据域地面动目标检测方法

Effective Direct Data Domain Method for Ground Moving Target Indication

直接数据域(Direct data dom a in,DDD)方法利用子孔径平滑来从单个距离门中获得足够样本,但空域、时域孔径损失严重,使得空时自适应处理的地面动目标检测性能下降严重。针对该问题提出了一种不需要协方差矩阵估计和求逆的DDD方法,该方法将多级维纳滤波器引入到DDD的最优权求解过程中,在低的空时孔径损失下仍然能够获得好的性能。某机载实测雷达数据的实验结果验证了该方法的有效性。

A direct data domain （DDD） method can obtain enough samples from one range gate by sub-aperture sliding. However, the space-time aperture loss is larger and the performance of the ground moving target indication （GMTI） is obtained by space-time adaptive processing （STAP） degrades. To solve this problem, a new DDD method without the covariance matrix estimation and the inverse is proposed. The multistage Wiener filter （MWF） is introduced into the method. The algorithm can obtain the better performance than the conventional DDD method with low aperture loss. Experimental results on the real data show the validity of the method.