计算机科学 ›› 2016, Vol. 43 ›› Issue (1): 149-153.doi: 10.11896/j.issn.1002-137X.2016.01.034

• 网络与通信 • 上一篇    下一篇

基于EMD的单通道盲源分离跳频通信抗干扰方法

齐扬阳,于淼   

  1. 解放军理工大学通信工程学院 南京210007;南京电讯技术研究所 南京 210007,南京电讯技术研究所 南京 210007
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国家自然科学基金项目(61179006),江苏省基础研究计划(BK20141068)资助

Anti-jamming Method for Frequency Hopping Communication Based on Single Channel BSS and EMD

QI Yang-yang and YU Miao   

  • Online:2018-12-01 Published:2018-12-01

摘要: 针对传统盲源分离算法无法在单路接收的跳频通信场景中使用的问题,提出一种结合经验模态分解的单通道盲源分离跳频通信抗干扰方法。首先通过理论分析和仿真确定了采用EMD对混有干扰的单路接收跳频信号进行增维的方法,将单通道盲分离的欠定问题转为正定问题,之后分别利用全盲盲源分离和半盲盲源分离实现扰信分离。在不同信干比、不同信噪比等多种条件下的仿真实验验证了本方法的有效性。

关键词: 跳频通信,单通道盲源分离,经验模态分解,半盲盲源分离

Abstract: Traditional blind source separation (BSS)methods can not be used in frequency hopping communication system with only one antenna equipped.To deal with this problem,a single channel BSS anti-jamming method based on empirical mode decomposition (EMD) was presented.Firstly,the signal received by single channel is expanded by EMD according to theoretical analysis and the simulation results,transforming the single channel underdetermined problem into the multi channel positive definite one.Then the totally-blind and semi-blind BSS algorithm are employed respectively to realize the separation of the signal and the jamming.Simulations were carried out under different signal to jamming ratio and signal to noise ratio to demonstrate the superior performance of the proposed method.

Key words: Frequency hopping communication,Single channel blind source separation,Empirical mode decomposition,Semi-blind source separation

[1] Yao Fu-qiang.Communication Anti-jamming Engineering andPractice(Second edition)[M].Beijing:Publishing House of Electronics Industry,2012:26(in Chinese) 姚富强.通信抗干扰工程与实践(第2版)[M].北京:电子工业出版社,2012:26
[2] Wan Jian,Tu Shi-long,Liao Can-hui,et al.Theory and technology on blind source separation of communication signals[M].Beijing:National Defense Industry Press,2012:1-5(in Chinese)万坚,涂世龙,廖灿辉,等.通信混合信号盲分离理论与技术[M].北京:国防工业出版社,2012:1-5
[3] Yu Miao,Wang Yue-hai,Wang Guo-fu.BSS based anti-jamming method of frequency hopping communication against partial-band noise jamming[J].Systems Engineering and Electronics,2013,35(4):1079-1084(in Chinese)于淼,王曰海,汪国富.基于BSS的跳频通信抗部分频带噪声阻塞干扰方法[J].系统工程与电子技术,2013,35(4):1079-1084
[4] Zhao Wen-hong,Wang Wei.Novel algorithm for single channel blind separation[J].Computer Science,2013,40(6A):61-63(in Chinese)赵文红,王巍.求解单通道盲分离问题的一种新方法[J].计算机科学,2013,40(6A):61-63
[5] Tu Shi-long,Chen Yue-xin,Zheng Hui.Exploiting Error-control Codes in Single-channel Blind Separation of Co-frequency Modulated Signal[J].Journal of Electronics and Information Techno-logy,2009,31(9):2113-2117(in Chinese)涂世龙,陈越新,郑辉.利用纠错编码的同频调制混合信号单通道盲分离[J].电子与信息学报,2009,31(9):2113-2117
[6] Qi Yang-yang,Yu Miao,Chen Jian-zhong.An Anti-JammingMethod for Frequency Hopping Communication Based on Single Channel BSS and Wavelet Packet[J].Communications Techno-logy,2014,47(12):1360-1365(in Chinese)齐扬阳,于淼,陈建忠.一种基于小波包的单通道盲源分离跳频通信抗干扰方法[J].通信技术,2014,7(12):1360-1365
[7] Huang N E,Shen Z,Long S R,et al.The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationa-ry time series analysis[J].Proceedings of the Royal Society of London.Series A:Mathematical,Physical and Engineering Scie-nces,1998,454(1971):903-995
[8] Mijovic B,De Vos M,Gligorijevic I,et al.Source separation from single-channel recordings by combining empirical-mode decomposition and independent component analysis[J].IEEE Transactions on Biomedical Engineering,2010,57(9):2188-2196
[9] Liu Jia,Yang Shi-e,Piao Sheng-chun.The single channel seismic-acoustic signal blind-source separationmethod based on EEMD[J].Journal of Harbin Engineering University,2011,32(2):194-199(in Chinese)刘佳,杨士莪,朴胜春.基于 EEMD 的地声信号单通道盲源分离算法[J].哈尔滨工程大学学报,2011,32(2):194-199
[10] Kamath V,Lai Y-C,Zhu L,et al.Empirical mode decomposition and blind source separation methods for antijamming with GPS signals[C]∥IEEE Position Location and Navigation Sympo-sium.2006:25-27
[11] Lu W,Rajapakse J C.Approach and applications of constrained ICA[J].IEEE Transactions on Neural Networks,2005,16(1):203-212
[12] Lu W,Rajapakse J C.ICA with reference[J].Neuron Computing,2006,69(16):2244-2257
[13] Wang Y-H,Yeh C-H,Young H-W V,et al.On the computationalcomplexity of the empirical mode decomposition algorithm[J].Physica A-Statistical Mechanics and its Applications,2014,400:159-167
[14] Fu Wei-hong,Yang Xiao-niu,Liu Nai-an.Robust Fourth-Order Cunmulant-Based algorithm for communication signal blind se-paration[J].Journal of Electronics and Information Technology,2008,30(8):1853-1854(in Chinese)付卫红,杨小牛,刘乃安.基于四阶累积量的稳健的通信信号盲分离算法[J].电子与信息学报,2008,30(8):1853-1856

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