期刊文献+

小波域抑制多音干扰的扩频接收机 被引量:2

Multi-tone Interference Suppression Spread Spectrum Receiver in Wavelet Domain
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摘要 利用小波包理论提出了一种快速、准确地识别并且抑制多音干扰的有效方法。该方法利用小波包理论将多音干扰的各条谱线逐个定位,然后通过功率谱分析的方法来识别多音干扰的存在区间,最后将被干扰污染的区间逐个切除并反向重构接收到的信号。实验证明该方法的误比特率性能在强干扰时要优于以前的FFT域切割法。 This paper proposes an effective method to identify and suppress multi -tone interference quickly and accurately on the basis of wavelet packet theory. This method utilizes the wavelet packet theory to position the spectrum lines of multi - tone interference respectively, then identifies the distances where multi - tone interference exists using power spectrum analysis method, and finally cuts off the contaminated distances one by one and reconstructs the received sisal along the opposite direction. Experiment proves that the bit error rote(BER) performence of the proposed method is prior to the cut -off method of FFT domain when the interference is strong.
出处 《电讯技术》 2006年第4期13-17,共5页 Telecommunication Engineering
基金 山东省科学院博士基金重点项目(科基合字2004第5号)
关键词 扩频通信 接收机 多音干扰 干扰抑制 小波包 spread spectrum communications receiver multi - tone interference interference suppression wavelet packet
作者简介 陈长英(1971-),男,辽宁沈阳人,博士,副研究员,主要研究方向:无线电通信和信号电话)0531-82605397(电子信箱)163.com; 杨秀红(1977-),女,山东泰安人,学士,中级教师,主要从事计算机和电子技术的教学及实验管理工作。
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  • 1Xue mei Ouyang,Moeness Amin G.Short-time Fourier Transform Receiver for Non-stationary Interference Excision in Direct Sequence Spread Spectrum Communications[J].IEEE Trans.on Signal Processing,2001,49(4):851-863.
  • 2Moon-Chuen Lee.Texture Classification Using Dominant Wavelet Packet Energy Features[C]∥.The 4th IEEE Southwest Symposium on Image Analysis and Interpretation.N.J.:IEEE Service Center,2000:301-304.
  • 3Catharina Carlemalm H,Vincent Poor,Andrew Logothetis.Suppression of Multiple Narrowband Interferers in A Spread-Spectrum Communication System[J].IEEE Journal on Selected Area in Communication,2000,18(8):1365-1374.
  • 4程正兴.小波分析算法与应用[M].西安:西安交通大学出版社,1999.207-217.
  • 5Anestis Antoniadis,Irene Gijbels.Detecting abrupt changes by wavelet methods[J].Nonoparametric Statistics,2002,14(1-2):7-29.
  • 6陈长英,刘人杰.新型扩频接收机的研究[J].电讯技术,2001,41(6):9-14. 被引量:1

共引文献38

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  • 1Tazebay M V, Akansu A N.Adaptive subband transforms in time- frequency excisers for DSSS communications systems [J].IEEE Trans.Signal Processing, 1995,43(11):2776-2782.
  • 2Milstein L B, Das P K. An Analysis of a Real-Time-Transform Domain Filtering Digital Communication Sys-tem—Part I: Narrow-Band Interference Rejection [ J ].IEEE Transactions on Communications, 1980,28 ( 6 ):816-824.
  • 3Candfes E J,Tao T. Near-Optimal Signal Recovery FromRandom Projections : Universal Encoding Strategies.[J]. IEEE Transactions on Information Theory,2006,52(12):5406-5425.
  • 4Seung-Hyun K. A Deterministic Compressed GNSS Ac-quisition Technique[ J]. IEEE Transactions on VehicularTechnology,2013,62(2) :511-521.
  • 5Chinatto A,Junqueira C,Romano J M T. Enhancing DSSS—signals channel estimation through compressive sensing[C ] //Proceedings of 2014 International Telecommunica-tion Symposium. Sao Paulo : IEEE ,2014 : 1 -5.
  • 6Candさs E J. The restricted isometry property and its im-plications for compressed sensing [ J ]. Comptes RendusMathematique,2008,346(9) :589-592.
  • 7Fyhn K, Arildsen T, Larsen T, et al. Demodulation of aSubsampled Direct Sequence Spread Spectrum signal u-sing Compressive Signal Processing [ C ] // Proceedingsof the 2012 European Signal Processing Conference. Bu-charest: IEEE,2012 ;2556-2560.
  • 8Pati Y C, Rezaiifar R, Krishnaprasad P S. Orthogonalmatching pursuit : recursive function approximation withapplications to wavelet decomposition [し」//Proceed-ings of 1993 Asilomar Conference on Signals, Systemsand Computers. Pacific Grove : IEEE, 1993 :40-44.
  • 9张磊,杨霄.基于小波的变换域通信系统抗干扰性能研究[J].现代电子技术,2008,31(11):7-9. 被引量:3
  • 10谭晓波,张杭,辜方林.DSSS卫星通信系统中多音干扰抑制研究[J].航天电子对抗,2009,25(6):23-26. 被引量:1

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