针对低空飞行器在飞行时受杂波干扰引起高度表测高精度降低的问题,提出了将卡亨南-洛维变换应用于雷达高度表的抗干扰。该方法利用回波数据中背景杂波、目标信号所具有的不同的二阶统计特征,根据回波数据自相关矩阵特征值的大小与数据中各成分的对应关系,实现了目标信号与干扰杂波的有效分离,提高了所测高度值的准确性。基于ADS的仿真结果验证了该方法的可行性和有效性。

Focused on the problem that the precision of radar altimeter in low-altitude aircraft is affected by clutter interference in flight, the Karhunen-Loeve transform was proposed to apply in the anti-interference of radar altimeter. By utilizing different second-order statistic characteristics on the clutter and target signal in echo data, the target signal was successfully separated from the clutter according to the corresponding relation between the characteristic value of the autocorrelation matrix and each component in the echo data, and the accuracy of the altitude was improved. The simulation results based on ADS demonstrate the validity and practicability of the proposed method.