由于港口等区域内存在大量建筑物,导致个体识别设备侦收的导航雷达信号受严重多径效应影响。为解决上述问题,文中提出了雷达基准时钟周期特征提取方法,并基于该特征在恶劣传播环境下对导航雷达进行个体识别。针对两部某S 波段导航雷达的四种量程工作模式,进行了雷达重复间隔特征提取有效性验证,并构造了线性分类模型进行识别有效性验证,验证了基于基准时钟周期特征的个体识别方法应对恶劣传播环境的有效性。

Due to the presences of a large number of buildings in ports and other areas, the navigation radar signals detected by specific emitter identification devices are affected by serious multi-path effects. In order to solve the above problems, a radar reference clock cycle feature extraction method is proposed in this paper, and based on this feature, the specific emitter identification of navigation radar is conducted in a harsh propagation environment. For the four quantum range working modes of two S-band navigation radars, the validity of radar repetition interval signature extraction is verified, and a linear classification model is constructed to verify the recognition validity, which verifies the effectiveness of the specific emitter identification method based on the base clock cycle feature against harsh propagation environment.

TN974