雷达辐射源个体识别研究
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摘要
雷达辐射源识别是电子战系统的关键技术之一,是指在分选截获雷达信号的基础上,得到信号中的工作参数,然后利用这些参数获取该雷达的体制、用途和型号等信息。当前雷达辐射源识别技术主要包括对辐射源个体信号的识别和对辐射源型号的识别。
雷达辐射源个体信号的识别主要是指对脉内特征和个体特征的识别。脉内特征包括脉内相位调制、频率调制、幅度调制和这三种调制组合的混合调制。个体特征是雷达发射机的发射管、调制器和高压电源等器件或电路所产生的不希望的各种寄生调制。
本文就从这两点特征出发,首先介绍分析了时频分析及小波分析在脉内特征提取中的作用,并对相关技术做了仿真。其次从时域、频域及变换域三个角度来分析如何提取雷达信号的个体特征,并以四部常规参数相同的辐射源为研究对象,进行仿真区分。
The identification of different radar emitters is one of the key technologies of electronic warfare, by filtrating the radar echo, and taking advantage of their working parameter. The information about the system, application and type of the radars can be gained. Nowadays, this technology mainly includes the identification of individual signal of radar emitter and the identification of the type of radar emitter.
The identification of individual signal of radar emitter mainly means to identify the features of the intrapulse modulation and the individual signal. The features of intrapulse modulation include phase intrapulse modulation, frequency intrapulse modulation, amplitude intrapulse modulation and the intrapulse modulation which combines all the three kinds. The features of individual radar emitter include the unexpected autoecious modulation which generated by the transmitting pipe, modulator, high-volt source or circuit.
Firstly, in this paper, the application of time-frequency analysis and wavelet analysis in gain the features of intrapulse modulation are introduced, and some relative simulations are done to the relevant technologies. Secondly, the gain of individual features of radar signal are analyzed from the respects of time, frequency and transforming domains, and simulations results are given base on four radar emitter which have equivalent parameter.
雷达辐射源个体信号的识别主要是指对脉内特征和个体特征的识别。脉内特征包括脉内相位调制、频率调制、幅度调制和这三种调制组合的混合调制。个体特征是雷达发射机的发射管、调制器和高压电源等器件或电路所产生的不希望的各种寄生调制。
本文就从这两点特征出发,首先介绍分析了时频分析及小波分析在脉内特征提取中的作用,并对相关技术做了仿真。其次从时域、频域及变换域三个角度来分析如何提取雷达信号的个体特征,并以四部常规参数相同的辐射源为研究对象,进行仿真区分。
The identification of different radar emitters is one of the key technologies of electronic warfare, by filtrating the radar echo, and taking advantage of their working parameter. The information about the system, application and type of the radars can be gained. Nowadays, this technology mainly includes the identification of individual signal of radar emitter and the identification of the type of radar emitter.
The identification of individual signal of radar emitter mainly means to identify the features of the intrapulse modulation and the individual signal. The features of intrapulse modulation include phase intrapulse modulation, frequency intrapulse modulation, amplitude intrapulse modulation and the intrapulse modulation which combines all the three kinds. The features of individual radar emitter include the unexpected autoecious modulation which generated by the transmitting pipe, modulator, high-volt source or circuit.
Firstly, in this paper, the application of time-frequency analysis and wavelet analysis in gain the features of intrapulse modulation are introduced, and some relative simulations are done to the relevant technologies. Secondly, the gain of individual features of radar signal are analyzed from the respects of time, frequency and transforming domains, and simulations results are given base on four radar emitter which have equivalent parameter.
引文
[1]丁鹭飞,耿富录.雷达原理.第3版.西安:西安电子科技大学出版社,2002
[2]贾鸿志.雷达信号分析.第1版.南京:南京理工大学出版社,1995
[3]解文斌.脉冲信号的特征分析和辐射源识别.硕士论文.国防科技大学,2003
[4]巫胜洪.雷达脉内特征提取方法的研究.舰船电子对抗,2002,25(1):25-28
[5]魏东升,巫胜洪,唐斌.雷达信号脉内细微特征的研究.舰船科学技术,1994,3:23-30
[6]王勇,张欣.雷达信号脉内特征参数提取技术.
[7]沙祥.脉内分析综述.现代电子,1998,4:1-8
[8]胡建伟.小波在电子侦察中的应用.博士论文.西安电子科技大学,2005
[9]曾志伟,冯小平.雷达信号脉内调制特征分析.雷达与对抗,2005,4:22-26
[10]韩俊,何明浩,李胜喜,乐剑.现代雷达辐射源技术研究.航天电子对抗,2008,24(1),43-45
[11]孙文峰.雷达目标识别技术述评.雷达与对抗,2001,3:1-7
[12]潘继飞,姜秋喜,毕大平.雷达指纹参数选取.现代防御技术,2007,35(1):71-75
[13]刘爱霞,赵国庆.一种新的雷达信号识别方法.航天电子对抗,2003(1):14-16
[14]张晔.信号时频分析及应用.第1版.哈尔滨:哈尔滨工业大学出版社,2006
[15]董晖,姜秋喜.基于多脉冲的雷达个体识别技术.电子对抗,2006,6:12-18
[16]韩国成,吴顺君.雷达信号脉内调制特征的时频分析.航天电子对抗,2004(3):34-37
[17]葛哲学,陈仲生.Matlab时频分析技术及其应用.第1版.北京:人民邮电出版社,2006
[18]张贤达.现代信号处理.第2版.北京:清华大学出版社,2002
[19]邹顺,靳学明,张群飞.一种雷达信号脉内调制特征分析方法.航天电子对抗,2005,22(1):52-54
[20]张国柱.雷达辐射源识别技术研究.博士论文.国防科技大学,2005
[21]顾燕铧.二相编码雷达信号的细微特征分析.扬州大学学报,2003,6(4):43-46
[22]曲长文,乔治国.雷达信号脉内特征的小波分析.上海航天,1996,5:15-19
[23]魏东升,徐东晖,林象平.雷达信号脉内细微特征的时频分析.电子对抗,1993(4):17-21
[24]Dr.Lawrence E.Langley.Specific emitter identification and classical paramenter fusion technology.Litton applied technology,2006:377-381
[25]Stephane Mallet.A wavelet tour of signal processing.第3版.北京:机械工业出版社,2003
[26]I.I.Jouny,P.Karunaratne,M.G..Amin.Target identification in the time-frequency domain.IEEE antenna and propagation society international symposium,1996(1):278-281
[27]高成.Matlab小波分析与应用.第2版.北京:国防工业出版社,2007
[28]杨琴.小波变换应用于数字调制信号的识别与参数估计.硕士论文.电子科技大学:2003
[29]H.E.Hassan.A new algorithm for radar emitter recognization.Proceedings of the 3rd International Symposium on Image and Signal Processing and Analysis,2003:1097-1101
[30]I.Jouny,E.D.Garber,R.L.Moses.Radar target identification using the bispectrum.IEEE transactions on aerospace and electronic systems,1995,31(1):69-77
[31]董晖,魏栋,姜秋喜.基于连续小波变换的脉内调制类型识别技术.航天电子对抗,2007,23(1):42-45
[32]张海明.频率源的相位噪声特性分析.无线通信技术,1999,25(1):25-27
[33]阎栋梁.相位噪声测量技术的发展.宇航计测技术,2006,26(5):59-61
[34]刘渝.快速高精度正弦波频率估计综合算法.电子学报,1999,27(6):126-128
[35]王飞,郑继刚.雷达信号载频精确估计的一种方法.舰船电子对抗,2006,29(2):27-29
[36]Stefan Pittner,Sagar V.Kamarthi.Feature extraction from wavelet coefficients for pattern recognition tasks.IEEE transaction on pattern analysis and machine intelligence,1999,21(1):83-88
[37]何岭松,李巍华.用Morlet小波进行包络检波分析.振动工程学报,2002,15(1):119-121
[38]赵学智,符红羽,陈文戈,陈统坚,叶邦彦.小波分析在信号包络提取中的应用.广东工业大学学报,2000,17(3):36-39
[39]张国柱,黄可生,姜文利,周一宇.基于信号包络的辐射源细微特征提取方法.系统工程与电子技术,2006,28(6):795-797
[40]李鸿林,张忠民,羿宗琪.中值滤波技术在图像处理中的应用.信息技术,2004,28(7):26-28
[41]蔡忠伟,李建东.基于双谱的通信辐射源个体识别.通信学报,2007,28(2):75-79
[42]陈昌孝,何明浩,王志斌,高峰.基于双谱分析的雷达辐射源个体特征提取.航天电子对抗,2007,23(5):46-49
[2]贾鸿志.雷达信号分析.第1版.南京:南京理工大学出版社,1995
[3]解文斌.脉冲信号的特征分析和辐射源识别.硕士论文.国防科技大学,2003
[4]巫胜洪.雷达脉内特征提取方法的研究.舰船电子对抗,2002,25(1):25-28
[5]魏东升,巫胜洪,唐斌.雷达信号脉内细微特征的研究.舰船科学技术,1994,3:23-30
[6]王勇,张欣.雷达信号脉内特征参数提取技术.
[7]沙祥.脉内分析综述.现代电子,1998,4:1-8
[8]胡建伟.小波在电子侦察中的应用.博士论文.西安电子科技大学,2005
[9]曾志伟,冯小平.雷达信号脉内调制特征分析.雷达与对抗,2005,4:22-26
[10]韩俊,何明浩,李胜喜,乐剑.现代雷达辐射源技术研究.航天电子对抗,2008,24(1),43-45
[11]孙文峰.雷达目标识别技术述评.雷达与对抗,2001,3:1-7
[12]潘继飞,姜秋喜,毕大平.雷达指纹参数选取.现代防御技术,2007,35(1):71-75
[13]刘爱霞,赵国庆.一种新的雷达信号识别方法.航天电子对抗,2003(1):14-16
[14]张晔.信号时频分析及应用.第1版.哈尔滨:哈尔滨工业大学出版社,2006
[15]董晖,姜秋喜.基于多脉冲的雷达个体识别技术.电子对抗,2006,6:12-18
[16]韩国成,吴顺君.雷达信号脉内调制特征的时频分析.航天电子对抗,2004(3):34-37
[17]葛哲学,陈仲生.Matlab时频分析技术及其应用.第1版.北京:人民邮电出版社,2006
[18]张贤达.现代信号处理.第2版.北京:清华大学出版社,2002
[19]邹顺,靳学明,张群飞.一种雷达信号脉内调制特征分析方法.航天电子对抗,2005,22(1):52-54
[20]张国柱.雷达辐射源识别技术研究.博士论文.国防科技大学,2005
[21]顾燕铧.二相编码雷达信号的细微特征分析.扬州大学学报,2003,6(4):43-46
[22]曲长文,乔治国.雷达信号脉内特征的小波分析.上海航天,1996,5:15-19
[23]魏东升,徐东晖,林象平.雷达信号脉内细微特征的时频分析.电子对抗,1993(4):17-21
[24]Dr.Lawrence E.Langley.Specific emitter identification and classical paramenter fusion technology.Litton applied technology,2006:377-381
[25]Stephane Mallet.A wavelet tour of signal processing.第3版.北京:机械工业出版社,2003
[26]I.I.Jouny,P.Karunaratne,M.G..Amin.Target identification in the time-frequency domain.IEEE antenna and propagation society international symposium,1996(1):278-281
[27]高成.Matlab小波分析与应用.第2版.北京:国防工业出版社,2007
[28]杨琴.小波变换应用于数字调制信号的识别与参数估计.硕士论文.电子科技大学:2003
[29]H.E.Hassan.A new algorithm for radar emitter recognization.Proceedings of the 3rd International Symposium on Image and Signal Processing and Analysis,2003:1097-1101
[30]I.Jouny,E.D.Garber,R.L.Moses.Radar target identification using the bispectrum.IEEE transactions on aerospace and electronic systems,1995,31(1):69-77
[31]董晖,魏栋,姜秋喜.基于连续小波变换的脉内调制类型识别技术.航天电子对抗,2007,23(1):42-45
[32]张海明.频率源的相位噪声特性分析.无线通信技术,1999,25(1):25-27
[33]阎栋梁.相位噪声测量技术的发展.宇航计测技术,2006,26(5):59-61
[34]刘渝.快速高精度正弦波频率估计综合算法.电子学报,1999,27(6):126-128
[35]王飞,郑继刚.雷达信号载频精确估计的一种方法.舰船电子对抗,2006,29(2):27-29
[36]Stefan Pittner,Sagar V.Kamarthi.Feature extraction from wavelet coefficients for pattern recognition tasks.IEEE transaction on pattern analysis and machine intelligence,1999,21(1):83-88
[37]何岭松,李巍华.用Morlet小波进行包络检波分析.振动工程学报,2002,15(1):119-121
[38]赵学智,符红羽,陈文戈,陈统坚,叶邦彦.小波分析在信号包络提取中的应用.广东工业大学学报,2000,17(3):36-39
[39]张国柱,黄可生,姜文利,周一宇.基于信号包络的辐射源细微特征提取方法.系统工程与电子技术,2006,28(6):795-797
[40]李鸿林,张忠民,羿宗琪.中值滤波技术在图像处理中的应用.信息技术,2004,28(7):26-28
[41]蔡忠伟,李建东.基于双谱的通信辐射源个体识别.通信学报,2007,28(2):75-79
[42]陈昌孝,何明浩,王志斌,高峰.基于双谱分析的雷达辐射源个体特征提取.航天电子对抗,2007,23(5):46-49