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基于WPT-PRI的未知雷达辐射源分选 被引量:1

Sorting of Unknown Radar Emitter Based on WPT-PRI
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摘要 对未知雷达辐射源信号进行准确分选是当前电子对抗领域亟待解决的一个难题。基于小波包变换(WPT)可实现多种不同调制信号的分类,且对噪声不敏感,但对于相同调制样式不同调制参数的信号则无效。该文提出一种基于WPT-PRI的新方法,首先利用WPT实现不同调制样式信号的分类,对于具有相同调制样式、不同调制参数的信号基于脉冲重复间隔(PRI)进一步细分。仿真结果验证新方法准确有效。 It is a difficult problem to accurately sorting unknown radar emitter in the electronic countermeasure field at present.Different kinds of modulation signals can be sorted by wavelet package transformation(WPT),but it is not sensitive to noise,while WPT is useless to those signals which have same modulated type but different modulated parameter.A new method based on WPT-PRI was proposed in this paper.Different kinds of modulation signals were sorted by WPT,then the signal which had same modulated type and different modulated parameter was further sorted by pulse repetition intervals(PRI).Simulation results showed that this new method was effective.
作者 程柏林 韩俊
出处 《压电与声光》 CSCD 北大核心 2010年第3期375-378,共4页 Piezoelectrics & Acoustooptics
基金 武器装备预研基金资助项目(51437030105HK101)
关键词 小波包变换(WPT) 脉冲重复间隔(PRI) 分选 wavelet package transformation(WPT) pulse repetition intervals(PRI) sorting
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参考文献8

  • 1HE Minghao, MAO Yan, HAN Jun. A method of extraeting radar in-pulse characteristics in low SNR [C]//Beijing: 8th International Conference on Signal Processing Proceedings, 2006: 2712-2715.
  • 2MILOJEVIC D J, POPOVIC B M. Improved algorithm for the deinterleaving of radar pulses[J], IEE Proc-F, 1992, 139(1): 98-104.
  • 3KENICHI Nishiguchi, MASAAKI Kobayashi. Improved algorithm for estimating pulse repetition intervals[J]. IEEE Trans on AES, 2000, 36(2): 407- 421.
  • 4赵知劲,周云水,尚俊娜.基于时频分析和RBF神经网络的调制识别[J].压电与声光,2004,26(4):328-330. 被引量:7
  • 5柳征,姜文利,周一宇.基于小波包变换的辐射源信号识别[J].信号处理,2005,21(5):460-464. 被引量:34
  • 6ZHANG Gexiang, HU Laizhao, JIN Weidong. Complexity feature extraction of radar emitter signals[C]// Hangzhou: Proceedings of the third Asia-pacific Conference on Environmental Electromagnetics, 2003: 495-498.
  • 7赵知劲,尚俊娜,周云水.基于支持向量机的实际调制信号识别[J].压电与声光,2005,27(5):569-571. 被引量:3
  • 8WANG Liwei, ZHU Yuanqing, PAN Yingfeng. FCM algorithm and index CS for the signal sorting of radiant points[C]//Guangzhou: Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, 2005: 4415-4419.

二级参考文献25

  • 1[1]NAGY P A J.A modulation classifier for multi channel systems and multi transmitter situations[ ].Proc MILCOM'94,1994,816-820.
  • 2[2]MCMILLAN Stanton B,FLANAGAN Brrian P,DOONG Tom K.Determination of the modulation type of communication signals[J].I CASSP-90,1990,3:1 683-1 686.
  • 3[3]HONG Liang,HO K C.Identification of digital modulation types using the wavelet transform[J].Military Communications Conference Proceedings,IEEE,1999,1:427-431.
  • 4[4]DAVY Manuel.Improved optimization of time-frequency-based signal classifiers[J].IEEE Signal Processing Letters,2001,8 (2):52-57.
  • 5[5]BEIDAS B F,WEBER C L.Higher-order correlation-based approach to modulation classification of digitally modulated signals[J].Selected Areas in Communications,IEEE Journal on,1995,13(1):89-101.
  • 6[6]CHENG Qian-sheng.The hilbert transform and the instantaneous phase,instantaneous frequency[J].BGP,1979,3:1-14.
  • 7[8]HAYKIN S.Neural networks:a comprehensive foundation[M].Maxwell Macmillan,1995.
  • 8VapnikVN著 张学工译.统计学习理论的本质[M].北京:清华大学出版社,2000..
  • 9NelloCristianini著 李国正译.支持向量机导论[M].北京:电子工业出版社,2004..
  • 10AZZOUZ E E, NANDI A K. Automatic identification of digital modulation types [J ] . Signal Processing,1995, 147(1):55-59.

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