摘要
针对雷达脉冲重复间隔类型识别中存在的问题,提出了一种基于S_p向量曲线的特征提取算法。根据4种典型模式的雷达信号脉冲序列的特点,该算法应用Haar变换从雷达脉冲信号中提取频率特征,构成二维特征向量,实现雷达信号PRI调制类型的自动识别。仿真结果表明,对特征向量进行大幅度降维后,不仅简化了分类器,而且用于PRI识别仍是可行和有效的。
Aiming at the problem of radar PRI pattern recognition, a new feature extraction algorithm based on the Sp vector curves is proposed. According to the characteristics of 4 typical pulse train patterns, Haar transform is used to extract the frequency fea- tures from radar signals. The features constitute some two-dimensional vectors, which are used to identify the pulse repetition inter- val modulation of radar transmitter signals automatically. The simulation results show that when the vector dimensions are lowered, the extracted feature vector decreases the complexity of the classifier while maintaining the feasibility and efficiency of PRI pattern recognition.
出处
《现代雷达》
CSCD
北大核心
2009年第5期48-50,共3页
Modern Radar
