摘要
提出一种用于雷达辐射源识别的新方法。根据小波包特征(WPT)和脉冲重复间隔(PRI)的特点,将八维WPT中的第六、七个分量(Wpt6、Wpt7)以及PRI的均值和方差(mPRI、σ2PRI)四个特征参数作为雷达辐射源的识别依据,设计了径向基概率神经网络(RBPNN)分类器。通过计算机仿真验证了新方法的可行性,与常规方法相比,不仅提高了识别准确率,识别速度也有所提高。
A new method for radar emitter identification is proposed. Based on the characteristics of WPT and PRI, Wpt6, Wpt7, mPRI, σ^2PRI are used as the gist for radar emitter identification. And RBPNN is designed. This new method is verified with higher identification accuracy and quicker identification response through simulation.
出处
《电子信息对抗技术》
2008年第5期9-12,共4页
Electronic Information Warfare Technology
基金
基金项目:9140C1006090805
