复杂电磁环境下通信信号的分选模型与算法
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摘要
信号的调制识别在电子战当中占据重要地位,是电子对抗重要前提,只有预先侦测到敌方的信号辐射源,才能有效的对其实施干扰。当前,各种军用、民用雷达、电台的大量使用,使得电磁环境纷繁复杂。如何能够从如此密集、复杂、多变的信号环境中提取并识别有用的信号,成为困扰人们的一大难题。
当前的主要困难在于：1、由于电子侦察设备涉及军事机密,能够找到实用性强的指导资料不多,经过长期的调研发现,大部分论文关注的焦点都是学术探讨,提到军事用途的几乎没有；2、系统的可扩充性。前期所做的预研工作,只是针对个别信号的调制识别,后期将对更多的信号进行调制识别,需要考虑在原有系统的基础上进行扩充。3、信号调制识别系统的建模。毋庸置疑,好的模型将极大的缩短系统工程实现周期,并节约系统实现成本,同时也能更好的在实战中发挥效能。
本论文针对以上提到的问题,主要做了下面几项工作：
(1)开展了大量电子侦查设备调研工作,并和相关领域的工程师进行了探讨,获得了非常宝贵的意见；
(2)探索出一套完整的信号调制识别思路,对于后期的系统扩充工作具有很强的指导意义；
(3)随机混合不同信噪比的噪声,增强电磁环境的复杂性,使其贴近复杂电磁环境；
(4)采用核模糊聚类算法对信号特征参数进行分析,获得了非常好的分选效果。
Signal modulation recognition play an important role in electronic warfare, electronic countermeasures an important prerequisite for the enemy only pre-detected signal radiation source, in order to effectively imposed interference. Currently, a variety of military and civilian radar, radio extensive use complicated electromagnetic environment. How can extract and identify useful signal in such dense, complex, changing signal environment, become a major problem for people.
The main difficulty is:1, Electronic surveillance equipment involving military secrets, it is difficult to find papers about this aspect.After a long period of research, the focus of most of the papers are academic discussion, refer to military purposes almost no;2, The scalability of the system. The pre-made pre-research work, is just for the individual signal modulation recognition, later, the focus is on more signals modulation recognition, need to be considered expansion on the basis of the original system3Give a model of the signal modulation recognition system. Needless to say, a good model will greatly shorten the systems engineering implementation cycle, and take a cost savings, but also better in actual combat effective.
The paper focuses on the above-mentioned problems, mainly done this following works:
(1) Took a large number of the research work on electronic surveillance equipment, and discussed with field engineers, gained invaluable advice;
(2) Researched a complete set of signal modulation recognition approach, which is great guiding significance for the later stages of the system expansion;
(3) Mixed different signal-to-noise ratio of the noise for enhancing the complexity of electromagnetic environment, made it close to the complicated electromagnetic environment.
(4) Took fuzzy kernel clustering means analysis parameters of the signal characteristics, obtained a very good separation efficiency
当前的主要困难在于：1、由于电子侦察设备涉及军事机密,能够找到实用性强的指导资料不多,经过长期的调研发现,大部分论文关注的焦点都是学术探讨,提到军事用途的几乎没有；2、系统的可扩充性。前期所做的预研工作,只是针对个别信号的调制识别,后期将对更多的信号进行调制识别,需要考虑在原有系统的基础上进行扩充。3、信号调制识别系统的建模。毋庸置疑,好的模型将极大的缩短系统工程实现周期,并节约系统实现成本,同时也能更好的在实战中发挥效能。
本论文针对以上提到的问题,主要做了下面几项工作：
(1)开展了大量电子侦查设备调研工作,并和相关领域的工程师进行了探讨,获得了非常宝贵的意见；
(2)探索出一套完整的信号调制识别思路,对于后期的系统扩充工作具有很强的指导意义；
(3)随机混合不同信噪比的噪声,增强电磁环境的复杂性,使其贴近复杂电磁环境；
(4)采用核模糊聚类算法对信号特征参数进行分析,获得了非常好的分选效果。
Signal modulation recognition play an important role in electronic warfare, electronic countermeasures an important prerequisite for the enemy only pre-detected signal radiation source, in order to effectively imposed interference. Currently, a variety of military and civilian radar, radio extensive use complicated electromagnetic environment. How can extract and identify useful signal in such dense, complex, changing signal environment, become a major problem for people.
The main difficulty is:1, Electronic surveillance equipment involving military secrets, it is difficult to find papers about this aspect.After a long period of research, the focus of most of the papers are academic discussion, refer to military purposes almost no;2, The scalability of the system. The pre-made pre-research work, is just for the individual signal modulation recognition, later, the focus is on more signals modulation recognition, need to be considered expansion on the basis of the original system3Give a model of the signal modulation recognition system. Needless to say, a good model will greatly shorten the systems engineering implementation cycle, and take a cost savings, but also better in actual combat effective.
The paper focuses on the above-mentioned problems, mainly done this following works:
(1) Took a large number of the research work on electronic surveillance equipment, and discussed with field engineers, gained invaluable advice;
(2) Researched a complete set of signal modulation recognition approach, which is great guiding significance for the later stages of the system expansion;
(3) Mixed different signal-to-noise ratio of the noise for enhancing the complexity of electromagnetic environment, made it close to the complicated electromagnetic environment.
(4) Took fuzzy kernel clustering means analysis parameters of the signal characteristics, obtained a very good separation efficiency
引文
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[2]Schroer R. Electronic Warefare[J].IEEE Trans Aerospace Electronic Systems Magazine,2003,18 (7):49-54.
[3]赵国庆.雷达对抗原理[M].西安：西安电子科技大学出版社,2001.
[4]胡来招.雷达侦察接收机设计[M].北京：国防工业出版社,2000.
[5]徐伟.电磁环境监测系统分析与设计[J].无线电工程,2009,NO.39(8):34-37.
[6]贺听.复杂电磁环境下频谱监测新技术[J].中国新通信,2010.10.
[7]刘治国,孙连宝,王袆.海战场电磁环境仿真系统及数学模型研究[J].船舰科学技术,2010,NO.32(4)：130-133.
[8]孟凡峰,曾亮,张巍.基于本体的战场复杂电磁环境研究[J].计算机应用,2010,NO.30(1)：324-326.
[9]邵国培,刘雅奇,何俊.战场电磁环境的定量描述、模拟构建与复杂性评估[J].电子对抗,2010,NO.130(1)：1-4.
[10]蔡向阳,陈伟兵,段亮弟.战场电磁环境分析框架与模型研究[J].船舰电子对抗,2010,NO.30(1)：69-72.
[11]Dobre,O,A, Abdi,A., Bar-Ness, Y., Su,W.Survey of automatic modulation classification techniques:classical approaches and new trends.[J].Communications,IET,2007,1 (2):137-156.
[12]M. Aravindan and S. R. S. Kingsley, "Recognition of modulation using Multilayer perceptron in digital communication," [C].Recent Advances in Intelligent Computational Systems (RAICS),IEEE,2011,264-268.
[13]A. Bakhraiba, S. Khatun, N. K. Noordin, A. Ismail, and B. M. Ali, "Digital Modulation Identification in terms of Software Defined Radio for Traffic Management System," [C].Telecommunication Technologies 2008 and 2008 2nd Malaysia Conference on Photonics.NCTT-MCP,2008,278-283.
[14]K. Goo-Rak, L. June-Sok, J. Jae-Do, and K. Sung-Jea, "Noise-Robust Modulation Identification Method for Adaptive Receiver Based on Software Defined Radio," [J].IEEE Transactions,2007,53(3),1211-1216.
[15]K. Hassan, I. Dayoub, W. Hamouda, C. N. Nzeza, and M. Berbineau, "Blind Digital Modulation Identification for Spatially-Correlated MIMO Systems,"[J] Wireless Communications, IEEE Transactions,2012,11(2).683-693.
[16]M. O. Helmy and F. W. Zaki, "Identification of Linear bi-dimensional digital modulation schemes via clustering algorithms," [C].Computer Engineering & Systems,2009. ICCES 2009. International Conference,2009,385-390.
[17]A. Metref, D. Le Guennec, and J. Palicot, "A New Digital Modulation Recognition Technique Using the Phase Detector Reliability,"[C].Telecommunications (AICT),2010 Sixth Advanced International Conference,2010.64-69.
[18]S. Qinghua and Y. Karasawa, "Automatic Modulation Identification Based on the Probability Density Function of Signal Phase,"[J] Communications, IEEE Transactions,2012.60(4),1033-1044.
[19]W. Koch, Bayesian Approach to Extended Object and Cluster Tracking using Random Matrices[J]. IEEE Transactions on Aerospace and Electronic Systems,2008.44(3),1042-1059.
[20]M. Feldman, D. Franken, and W. Koch, Tracking of Extended Objects and Group Targets using Random Matrics[J], IEEE Transactions on SignalProcessing,2012.59(4),1687-1693.
[21]HaiLei. The application of independent component analysis in radar signal classification[J]. ElectronicWarfare,2007(3):13-17.
[22]Zakrzewski, Mari, Vanhala. Jukka. Separating respiration artifact in microwave Doppler radar heart monitoring by independent component analysis[C].IEEE Sensors 2010 Conference, 2010:1368-1371.
[23]Wang, Dong, Qin, Ping, Chen Ying-Ying. Water objects extraction from polarimetric SAR imagery based on sequential nonlinear filtering and independent component analysis[C]. Proceedings of the 2009 2nd International Congress on Image and Signal Processing,2009:1-5.
[24]Shiomi Hidehisa, Yata Tatsuro, Okamura, eta!. Experiment of blind signal separation of wireless mixture using complex valued fast independent component analysis[C].2008 IEEE International Symposium on Antennas and Propagation and USNCIURSI National Radio Science Meeting,2008:1-4.
[25]徐欣,周一宇,卢启中.雷达截获系统实时信号分选处理技术研究[J].系统工程与电子技术,2001.23(3)：12-15.
[26]王海.电子战ESM系统技术发展综述[J].飞航导弹,2006,1：60-62.
[27]黄知涛,周一宇,姜文利.基于相对无模糊相位重构的自动脉冲调制特性分析[J].通信学报,2003.24(4)：153-160.
[28]解文斌,姜文利,黄勇杰等.脉冲编码信号的辐射源分类[J].电子对抗技术,2004,19(3)：23-29
[29]那云虓,司锡才,蒯冲.二相编码信号调制分析与识别[J].系统工程与电子技术,2004,26(3)：298-300
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