目标信号混入训练数据时, 自适应空域滤波的权值在距离维实时更新会造成信号自相消的现象。针对这一问题, 提出一种基于两级检测处理的全距离维更新计算权值的方法。第一级处理进行样本选择, 将强目标信号检测出来, 并剔除出训练数据; 第二级处理进行自适应波束形成和目标检测。仿真结果说明提出的方法能够在整个距离维更新自适应权值, 适合于警戒雷达对抗旁瓣干扰。

If the adaptive weights update in the whole range domain, the target signal may be contained in the training data, resulting in signals self-cancelling effect. To cope with such a reality problem, a two stages detection based method is discussed for updating the adaptive weights in the whole range domain when the training data is contaminated by the target signals. The main objective of the first stage is to select proper samples as training data, in which the range cells corrupted by target signal will be deleted from the training data. Then adaptive beamforming and detection processing will be performed in the second stage. The simulations show that the proposed method is capable of updating the adaptive weights in the whole range domain, and is suitable for early warning radar to suppress sidelobe jamming.