基于短时分数阶傅里叶变换的间歇采样转发干扰辨识方法
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摘要
基于数字射频存储的间歇采样转发干扰能够形成大量同时兼具压制和欺骗效果的假目标,难以被传统方法准确检测与识别。本文针对切片组合干扰和频谱弥散干扰这两种典型间歇采样转发干扰样式,提出一种基于短时分数阶傅里叶变换的干扰辨识方法。该方法首先通过角度遍历选取干扰信号的分数阶变换最优旋转角度;之后通过短时分数阶傅里叶变换,获得接收信号时频分布图像;再对时频图像进行二值化操作,提取干扰时频域特征参数,进而对干扰进行有效辨识。仿真结果证实了该方法的有效性与准确性。
Interrupted sampling repeater jamming based on digital radio frequency memory(DRFM) can form a large number of false targets that combines the effect of both suppression jamming and deception jamming, which is difficult to be accurately detected and identified by traditional methods. A novel jamming identification method based on short-time fractional Fourier transform(STFRFT) is proposed in this paper for two typical interrupted sampling repeater jamming: chopping and interleaving(C&I) jamming, and smeared spectrum(SMSP) jamming. Firstly, the optimal rotation angle of the fractional Fourier transform of the jamming signal is selected by traversing each angle. Then STFRFT is performed to obtain the time-frequency distribution image of the received signal. The jamming parameters are extracted by using image binarization method to identify the jamming. The simulation results verify the effectiveness and accuracy of the proposed method.
Interrupted sampling repeater jamming based on digital radio frequency memory(DRFM) can form a large number of false targets that combines the effect of both suppression jamming and deception jamming, which is difficult to be accurately detected and identified by traditional methods. A novel jamming identification method based on short-time fractional Fourier transform(STFRFT) is proposed in this paper for two typical interrupted sampling repeater jamming: chopping and interleaving(C&I) jamming, and smeared spectrum(SMSP) jamming. Firstly, the optimal rotation angle of the fractional Fourier transform of the jamming signal is selected by traversing each angle. Then STFRFT is performed to obtain the time-frequency distribution image of the received signal. The jamming parameters are extracted by using image binarization method to identify the jamming. The simulation results verify the effectiveness and accuracy of the proposed method.
引文
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[11] 陶然,邓兵,王越.分数阶傅里叶变换及其应用[M].北京:清华大学出版社,2009:2-7.Tao Ran,Deng Bing,Wang Yue.Fractional Fourier transform and its applications[M].Beijing:Tsinghua University Press,2009:2-7.(in Chinese)
[12] 杨少奇,田波,周瑞钊.利用时频分析的间歇采样干扰对抗方法[J].信号处理,2016,32(10):1244-1251.Yang Shaoqi,Tian Bo,Zhou Ruizhao.ECCM Against Interrupted Sampling Repeater Jamming Based on Time-frequency Analysis[J].Journal of Signal Processing,2016,32(10):1244-1251.(in Chinese)
[2] Sun Minhong,Tang Bin.Suppression of smeared spectrum ECM signal[J].Journal of the Chinese Institute of Engineers,2009,32(3):407- 413.
[3] 卢云龙,李明,曹润清,等.联合时频分布和压缩感知对抗频谱弥散干扰[J].电子与信息学报,2016(12):3275-3281.Lu Yunlong,Li Ming,Cao Runqing,et al.Jointing Time-frequency Distribution and Compressed Sensing for Countering Smeared Spectrum Jamming[J].Journal of Electronics & Information Technology,2016(12):3275-3281.(in Chinese)
[4] 李永平,卢刚,田晓,等.基于模糊函数的SMSP和C&I干扰识别算法[J].航空兵器,2011(4):51-54.Li Yongping,Lu Gang,Tian Xiao,et al.Jamming Identification Algorithms of SMSP and C&I Based on Ambiguity Function[J].Aero Weaponry,2011(4):51-54.(in Chinese)
[5] 周超,刘泉华,曾涛.DRFM间歇采样转发式干扰辨识算法研究[J].信号处理,2017,33(7):911-917.Zhou Chao,Liu Quanhua,Zeng Tao.Research on DRFM Repeater Jamming Recognition[J].Journal of Signal Processing,2017,33(7):911-917.(in Chinese)
[6] Zhao Yuan,Du Dongping,Ahmed Abdalla Ali,et al.Detection of SMSP Jamming in Netted Radar System Based on Fractional Power Spectrum[C]//IEEE International Conference on Computational Science & Engineering.IEEE Computer Society,2014.
[7] Li Yongping,Ying Xiong,Tang Bin.SMSP jamming identification based on matched signal transform[C]//International Conference on Computational Problem-solving.IEEE,2011.
[8] 杨少奇,田波.频谱弥散和切片组合欺骗式干扰的识别算法[J].探测与控制学报,2016(6):62- 67.Yang Shaoqi,Tian Bo.Identification Algorithms of SMSP and C&I[J].Journal of Detection & Control,2016(6):62- 67.(in Chinese)
[9] Tao Ran,Li Yanlei,Wang Yue.Short-Time Fractional Fourier Transform and Its Applications[J].IEEE Transactions on Signal Processing:A Publication of the IEEE Signal Processing Society,2010,58(5):2568-2580.
[10] 李家强,金荣洪,耿军平,等.基于高斯短时分数阶傅里叶变换的多分量LFM信号检测与参数估计[J].电子与信息学报,2007,29(3):11.Li Jiaqiang,Jin Ronghong,Geng Junping,et al.Detection and Estimation of Multi-component LFM Signals Based on Gauss Short-Time Fractional Fourier Transform[J].Journal of Electronic & Information Technology,2007,29(3):11.(in Chinese)
[11] 陶然,邓兵,王越.分数阶傅里叶变换及其应用[M].北京:清华大学出版社,2009:2-7.Tao Ran,Deng Bing,Wang Yue.Fractional Fourier transform and its applications[M].Beijing:Tsinghua University Press,2009:2-7.(in Chinese)
[12] 杨少奇,田波,周瑞钊.利用时频分析的间歇采样干扰对抗方法[J].信号处理,2016,32(10):1244-1251.Yang Shaoqi,Tian Bo,Zhou Ruizhao.ECCM Against Interrupted Sampling Repeater Jamming Based on Time-frequency Analysis[J].Journal of Signal Processing,2016,32(10):1244-1251.(in Chinese)