雷达信号有意调制的粗分类和细分类识别方法  

Identification Method of Radar Signals Intentional Modulation on Coarse and Fine Classification

作　　者：隋莉莉[1] 翟孝霏[2] 陈涛[1] 姚文杨[1] 

机构地区：[1]哈尔滨工程大学信息与通信工程学院,哈尔滨150001 [2]工业和信息化部电子科学技术情报研究所,北京100040

出　　处：《现代雷达》2013年第2期40-44,共5页Modern Radar

基　　金：中央高校基本科研业务费专项资助项目(HEUCF120802)

摘　　要：针对雷达信号脉内有意调制中2类典型调制信号,即相位编码(PSK)信号和调频(FM)信号,提出了一种由粗到细的方法进行脉内识别。首先,对接收到的雷达信号利用其3 dB带宽明显不同的特点,进行类间粗分类,识别出PSK信号和FM信号;然后,针对PSK信号和FM信号类内特征的不同,提出了利用信号的小波脊频特征,来对雷达信号进行类内细分类识别的方法,使PSK信号被细分类为BPSK信号和QPSK信号、FM信号被细分类为LFM信号和NLFM信号,从而完成了典型雷达信号的有意调制的识别。仿真结果表明,在一定信噪比下,此识别方法真实有效。Considering two typical radar signals of pulse internal intentional modulation, phase shift keying （PSK） signal and fre- quency modulation （FM） signal, a classification and recognition method based from rough to the detailed was proposed. Firstly, the received radar signals are classified and identified in coarse by 3 dB bandwidth of the difference, PSK signal and FM signal is identified ; and then for the detailed characteristics of PSK signal and FM signal, a method based on wavelet ridge frequency char- acteristics was proposed, which is used for the fine classification and recognition of radar signal. For radar signals fine classification and identification, the method of using the difference for the characteristics of wavelet ridge frequency characteristics was proposed. The intentional modulation recognition of the typical radar signals is finished. Simulation results show that the identification method is real and effective at certain Signal to Noise Ratio.

关 键 词：雷达信号 脉内识别 小波脊 

分 类 号：TN957.51[电子电信—信号与信息处理]