雷达信号脉内调制识别新方法
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摘要
针对低信噪比下雷达脉内调制类型识别问题,提出了一种新的自动识别算法。首先,改进了相位差分与短时傅里叶变换(STFT),分别提高了对相位编码信号和频率调制信号的特征提取能力;然后,采用层次决策方法实现了雷达信号脉内调制类型的识别。仿真实验结果表明,该算法分类特征明显,在信噪比为3 dB时,总体识别结果接近100%,且算法运算量较小,具有一定的应用价值。
A new automatic method algorithm is proposed, which can be used to recognize for intrapulse modulation type of radar signal. Firstly, the phase difference method and short-time Fourier transform(STFT) are improved. Two improved methods are applied to extract the feature of phase coded signal and frequency modulation signal. And then, automatic recognition of radar signal intrapulse modulation is implemented based on hierarchy decision. The simulation results show that the proposed recognition method has distinguished classification features, total recognition result is close to 100% at SNR=3 dB, and it has certain application value.
A new automatic method algorithm is proposed, which can be used to recognize for intrapulse modulation type of radar signal. Firstly, the phase difference method and short-time Fourier transform(STFT) are improved. Two improved methods are applied to extract the feature of phase coded signal and frequency modulation signal. And then, automatic recognition of radar signal intrapulse modulation is implemented based on hierarchy decision. The simulation results show that the proposed recognition method has distinguished classification features, total recognition result is close to 100% at SNR=3 dB, and it has certain application value.
引文
[1]Zhu J,Zhao Y,Tang J.Automatic recognition of radar signals based on time-frequency image character[C]//Radar Conference 2013,IET International,IET,2013:1-6.
[2]胡国兵,华永平,刘渝.基于正弦波抽取的信号脉内调制识别算法[J].计算机工程,2010,36(13):21-25.
[3]周欣,吴瑛.核Fisher判别分析在数字信号分类中的应用[J].北京邮电大学学报,2011,34(1):35-39.
[4]王海华,沈晓峰.一种新的雷达辐射源信号脉内特征提取方法[J].系统工程与电子技术,2009,31(4):809-811.
[5]黄知涛,周一宇,姜文利.基于相对无模糊相位重构的自动脉内调制特性分析[J].通信学报,2003,24(4):153-160.
[6]于立涛,马洪光,艾名舜,等.基于STFT的雷达脉内调制信号类型识别[J].弹箭与制导学报,2006,26(2):1198-1202.
[7]隋莉莉,翟孝霏,陈涛,等.雷达信号有意调制的粗分类和细分类识别方法[J].现代雷达,2013,35(2):40-44.
[2]胡国兵,华永平,刘渝.基于正弦波抽取的信号脉内调制识别算法[J].计算机工程,2010,36(13):21-25.
[3]周欣,吴瑛.核Fisher判别分析在数字信号分类中的应用[J].北京邮电大学学报,2011,34(1):35-39.
[4]王海华,沈晓峰.一种新的雷达辐射源信号脉内特征提取方法[J].系统工程与电子技术,2009,31(4):809-811.
[5]黄知涛,周一宇,姜文利.基于相对无模糊相位重构的自动脉内调制特性分析[J].通信学报,2003,24(4):153-160.
[6]于立涛,马洪光,艾名舜,等.基于STFT的雷达脉内调制信号类型识别[J].弹箭与制导学报,2006,26(2):1198-1202.
[7]隋莉莉,翟孝霏,陈涛,等.雷达信号有意调制的粗分类和细分类识别方法[J].现代雷达,2013,35(2):40-44.