一种有效的雷达信号快速识别方法

发布时间：2018-01-24 21:27

本文关键词： 雷达信号识别瞬时频率特征提取短时傅里叶变换脉内调制　出处：《电讯技术》2017年04期 　论文类型：期刊论文

【摘要】：针对多种调制类型的雷达信号快速侦察识别成功率较低的问题,提出了基于瞬时频率特征提取的雷达信号快速识别新算法。首先,由短时傅里叶变换(STFT)得到信号每一部分的瞬时频率特征;其次,对得到的瞬时频率进行两次归一化分别得到各自特征值;最后,用层次决策方法对雷达信号进行分类识别。仿真实验结果证明该方法能有效识别各种雷达信号,在信噪比高于-3 dB时,各种脉内调制的识别成功率都达到90%以上。
[Abstract]:In order to solve the problem of low success rate of radar signal fast detection and recognition with different modulation types, a new algorithm based on instantaneous frequency feature extraction is proposed. The instantaneous frequency characteristics of each part of the signal are obtained by STFT-based short time Fourier transform (STFT). Secondly, the obtained instantaneous frequencies are normalized twice to obtain their respective eigenvalues. Finally, the hierarchical decision method is used to classify the radar signal. The simulation results show that the method can effectively identify various radar signals, when the SNR is higher than 3 dB. The success rate of all kinds of intra-pulse modulation recognition is more than 90%.
【作者单位】：电子信息控制重点实验室;
【分类号】：TN957.51
【正文快照】： 1引言雷达信号脉内调制分析及识别方法是当前电子战中电子侦察的重要内容。雷达技术的不断进步使得当前电子侦察所要面对的雷达信号日益复杂,目前成熟的信号分选识别方法是基于脉冲描述字,但对于复杂调制的雷达信号,当前的识别算法实时性差且识别成功率并不高。因此,需要能更

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