直接序列擴頻通信中窄帶干擾抑制的奇異值分解方法

孫麗萍; 胡光銳

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直接序列擴頻通信中窄帶干擾抑制的奇異值分解方法

孫麗萍, 胡光銳

文章導航 > 電子與信息學報 > 2003 > 25(9): 1290-1293

孫麗萍, 胡光銳. 直接序列擴頻通信中窄帶干擾抑制的奇異值分解方法[J]. 電子與信息學報, 2003, 25(9): 1290-1293.

引用本文:

孫麗萍, 胡光銳. 直接序列擴頻通信中窄帶干擾抑制的奇異值分解方法[J]. 電子與信息學報, 2003, 25(9): 1290-1293.

Sun Liping, Hu Guangrui . Narrow-band interference rejection in PN spread spectrum systems using SVD method[J]. Journal of Electronics & Information Technology, 2003, 25(9): 1290-1293.

Citation:

Sun Liping, Hu Guangrui . Narrow-band interference rejection in PN spread spectrum systems using SVD method[J]. Journal of Electronics & Information Technology, 2003, 25(9): 1290-1293.

孫麗萍, 胡光銳. 直接序列擴頻通信中窄帶干擾抑制的奇異值分解方法[J]. 電子與信息學報, 2003, 25(9): 1290-1293.

引用本文:

孫麗萍, 胡光銳. 直接序列擴頻通信中窄帶干擾抑制的奇異值分解方法[J]. 電子與信息學報, 2003, 25(9): 1290-1293.

Sun Liping, Hu Guangrui . Narrow-band interference rejection in PN spread spectrum systems using SVD method[J]. Journal of Electronics & Information Technology, 2003, 25(9): 1290-1293.

Citation:

Sun Liping, Hu Guangrui . Narrow-band interference rejection in PN spread spectrum systems using SVD method[J]. Journal of Electronics & Information Technology, 2003, 25(9): 1290-1293.

直接序列擴頻通信中窄帶干擾抑制的奇異值分解方法

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出版歷程
- 收稿日期: 2002-05-24
- 修回日期: 2002-11-22
- 刊出日期: 2003-09-19

Narrow-band interference rejection in PN spread spectrum systems using SVD method

摘要

摘要: 在很強的單音干擾存在時,傳統(tǒng)的線性預測濾波方法不能達到很好的抗干擾性能.該文提出了一種用奇異值分解方法(SVD)來抑制擴頻通信中的單音干擾的問題,建立了利用SVD技術抑制直接序列擴頻通信(DSSS)中的窄帶干擾的系統(tǒng)模型.并與傳統(tǒng)的雙邊LMS濾波器進行了誤碼率比較.仿真表明,SVD方法對干擾有很強的抑制能力,當BER=10-2時,SVD方法的增益要高于LMS方法3dB.而且同傳統(tǒng)的LMS算法相比,SVD方法避免了算法收斂的問題.
- 奇異值分解; 直接序列擴頻通信; LMS
Abstract: When the strong tone interference exists in the Direct Sequence Spread Spec-trum(DSSS) system, the traditional linear prediction filter performs poorly. A system model employing the proposed SVD-based technique to reject the single-tone interference in a DSSS system is presented. Simulation results show that SVD method has strong interference sup-pression ability, especially SVD outperforms conventional LMS by a gain of 3dB at BER=10-2. Also the SVD methods avoids the convergence problem that the LMS algorithm has.

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參考文獻(1)

Li Loh-Ming, L. B. Milstein, Rejection of narrowband interference in PN spread-spectrum systems using transversal filters [J]. IEEE Trans. on Commun.,1982,30(5), 925-928.[2]E. Masry, Closed-form analytical results for the rejection of narrowband interference in PN spreadspectrum systems Part I: Linear prediction filters [J]. IEEE Trans. on Commun., 1984, 32(8),888-896.[3]E. Masry, Closed-form analytical results for the rejection of narrowband interference in PN spreadspectrum systems Part II: Linear interpolation filters [J]. IEEE Trans. on Commun.,1985, 33(1),10-19.[4]S.Davidovici, E. G. Kanterakis, Narrow-band interference rejection using real-time Fourier transforms, IEEE Trans. on Commun. 1989, 37(7), 713-722.[5]M.V. Tazebay, A. V. Akansu, Adaptive subband transforms in time-frequency excisers for DSSS communication systems, IEEE Trans. on Signal Processing, 1995, 43(11), 2776-2782.[6]D.W. Tufts, R. Kumaresan, I. Kirsteins, Data adaptive signal estimation by singular value decomposition of a data matrix, Proc. IEEE, 1982, 70(6), 684-685.[7]B.F. Rice, M. Fechner, M. E. Wilhoyte, Multiple tone removal from short signal records using singular value decomposition, Conference record of the twenty-seventh Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, 1993, vol.1,325-329.

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