天波超视距雷达中瞬态干扰定位方法研究

为了对抗天波超视距雷达中的瞬态干扰，现有时域算法一般有干扰定位、干扰剔除与数据恢复3个步骤，其中干扰定位的精度直接决定了后续处理的性能。目前工程中应用的固定门限方法定位精度不够，而现有文献中提出的方法运算量较大，且对参数的选择较为敏感。针对这一问题，该文提出一种迭代剔除平均检测器。此检测器将判决为干扰的样本点剔除出迭代平均的过程，并采用前-后向检测的定位方法，保证了背景估计与干扰定位的可靠性。天波超视距雷达的实测数据处理结果证明了所提方法的有效性。

Transient Interference Localization Method in the Skywave Over-the-horizon Radar

In order to excise transient interferences in the skywave over-the-horizon radar, regular time-domain methods use steps as interference localization, interference blanking and data restoration. The interference excision performance depends highly on the interference localization performance. In the real system, the constant threshold detection method is adopted. However, it can not provide reliable localization performance. Some other existing methods need large computational costs and are sensitive to the parameters. To solve these problems, an iteratively censored average detector is proposed. The proposed detector removes the interference samples from the iterative estimating procedure and adopts a forward-backward localizing method to ensure the reliability of the localization performance. The experimental data collected from a trial skywave over-the-horizon radar are used. Results verify the effectiveness of the proposed method.