软件无线电的GNSS干扰盲识别系统
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摘要
针对卫星导航系统易受干扰,同时所处电磁环境复杂,往往多源异构干扰并存的问题,提出一个基于软件无线电的GNSS干扰盲识别系统:利用调制信号的高阶统计特性以及时频域特征,对单频干扰、脉冲干扰、线性扫频干扰、调频干扰、BPSK及FSK干扰6种干扰信号进行盲识别;利用软件无线电具有的高度灵活性和功能模块化等特点,使整个系统不仅结构精简,而且具有开放性和可扩展性。实验结果表明,该算法在不需要任何先验知识的情况下,在加性高斯白噪声为20 dB时,可以实现97%以上的总体识别率,并且具有较好的稳定性。
Aiming at the problems that it is susceptible to interference for the satellite navigation system, and there coexist multi-source heterogeneous interferences due to the complex electromagnetic environment, the paper proposed a software radio-based blind identification system of GNSS interference: the characteristics of the modulated signal in high-order statistics and the time-frequency domain were used to blindly identify the six jamming signals of single-frequency, pulse, linear sweep, FM, BPSK and FSK; and the advantages of high flexibility and modular functions of software radio were taken to make the system not only compact in structure, but also open and expandable.Experimental result showed that the algorithm could achieve an overall recognition rate of 97 % above when the additive white Gaussian noise is 20 dB without any prior knowledge, meanwhile, with good stability.
Aiming at the problems that it is susceptible to interference for the satellite navigation system, and there coexist multi-source heterogeneous interferences due to the complex electromagnetic environment, the paper proposed a software radio-based blind identification system of GNSS interference: the characteristics of the modulated signal in high-order statistics and the time-frequency domain were used to blindly identify the six jamming signals of single-frequency, pulse, linear sweep, FM, BPSK and FSK; and the advantages of high flexibility and modular functions of software radio were taken to make the system not only compact in structure, but also open and expandable.Experimental result showed that the algorithm could achieve an overall recognition rate of 97 % above when the additive white Gaussian noise is 20 dB without any prior knowledge, meanwhile, with good stability.
引文
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[7]韩刚,张文红,李建东.基于高阶累积量和支持向量机的调制识别研究[J].系统工程与电子技术,2003,25(8):1006-1011.
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[10]赵雄文,郭春霞,李景春.基于高阶累积量和循环谱的信号调制方式混合识别算法[J].电子与信息学报,2016,33(3):675-679.
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[13]JIN J D,KWAK Y K,LEE K W,et al.Modulation type classification method using wavelet transform for adaptive modulator[C]//The Institute of Electrical and Electronic Engineers(IEEE).Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems.Seoul:IEEE,2004:289-292.
[14]赵成林,罗勇.基于小波变换的信号调制方式的识别研究[J].信号与信息处理,2010,40(1):10-12.
[15]魏小薇,曹志刚.低信噪比下数字幅度调制的调制进制快速识别[J].清华大学学报,2006,46(1):35-38.
[16]杨志俊,范海波.基于谱分析的通信信号调制方式自动识别[J].无线通信技术,2003(2):30-33.
[2]AZZOUZ E E,NANDI A K.Procedure for automatic recognition of analogue and digital modulations[EB/OL].(2013-06-04)[2018-05-27].http://www.docin.com/p-661824287.html.
[3]黄春琳,沈振康.调制方式的自动识别方法[J].国防科技参考,1998(1):32-35.
[4]SWAMI A,SADLER B M.Hierarchical digital modulation recognition using cumulants[J].IEEE transactions on communications,2008,48(3):416-429.
[5]DOBRE O A,BAR-NESS Y,WEI Su.High-order cyclic cumulants for high for order modulation classification[EB/OL][2018-05-27].http://users.encs.concordia.ca/home/a/ame_abde/paper/01290087.pdf.
[6]MIRARAB M R,SOBHANI M A.Robust modulation classification for PSK/QAM/ASK using high-order cumulants[C]//The Institute of Electrical and Electronic Engineers(IEEE).Proceedings of 2007 6th International Conference on Information,Communications&Signal Processing.Singapore:IEEE,2007:1-4.DOI:10.1109/ICICS.2007.4449591.
[7]韩刚,张文红,李建东.基于高阶累积量和支持向量机的调制识别研究[J].系统工程与电子技术,2003,25(8):1006-1011.
[8]包锡锐,吴瑛,周欣.基于高阶累积的数字调制信号识别算法[J].信息工程大学学报,2007,8(4):463-467.
[9]韩国栋,蔡斌,邬江兴.调制分析与识别的谱相关方法[J].系统工程与电子技术,2003,23(3):33-46.
[10]赵雄文,郭春霞,李景春.基于高阶累积量和循环谱的信号调制方式混合识别算法[J].电子与信息学报,2016,33(3):675-679.
[11]RAMKUMAR B.Automatic modulation classification for cognitive radios using cyclic feature detection[J].IEEECircuits and System Magazine,2009,9(2):27-45.
[12]CHANDRA H D,TAWARI A K.Blind modulation classification based on MLP and PNN[EB/OL].[2018-05-27]https://www.researchgate.net/publication/261261439_Blind_Modulation_Classification_based_on_MLP_and_PNN.
[13]JIN J D,KWAK Y K,LEE K W,et al.Modulation type classification method using wavelet transform for adaptive modulator[C]//The Institute of Electrical and Electronic Engineers(IEEE).Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems.Seoul:IEEE,2004:289-292.
[14]赵成林,罗勇.基于小波变换的信号调制方式的识别研究[J].信号与信息处理,2010,40(1):10-12.
[15]魏小薇,曹志刚.低信噪比下数字幅度调制的调制进制快速识别[J].清华大学学报,2006,46(1):35-38.
[16]杨志俊,范海波.基于谱分析的通信信号调制方式自动识别[J].无线通信技术,2003(2):30-33.