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中压配电线通信系统脉冲噪声处理的阈值优化算法

李荣伟 吴乐南

李荣伟, 吴乐南. 中压配电线通信系统脉冲噪声处理的阈值优化算法[J]. 电子与信息学报, 2007, 29(11): 2775-2778. doi: 10.3724/SP.J.1146.2006.00534
引用本文: 李荣伟, 吴乐南. 中压配电线通信系统脉冲噪声处理的阈值优化算法[J]. 电子与信息学报, 2007, 29(11): 2775-2778. doi: 10.3724/SP.J.1146.2006.00534
Li Rong-wei, Wu Le-nan. Optimization Algorithm for Impulsive Noise Mitigation Schemes of Middle-Voltage Distribution Line Communication Systems[J]. Journal of Electronics & Information Technology, 2007, 29(11): 2775-2778. doi: 10.3724/SP.J.1146.2006.00534
Citation: Li Rong-wei, Wu Le-nan. Optimization Algorithm for Impulsive Noise Mitigation Schemes of Middle-Voltage Distribution Line Communication Systems[J]. Journal of Electronics & Information Technology, 2007, 29(11): 2775-2778. doi: 10.3724/SP.J.1146.2006.00534

中压配电线通信系统脉冲噪声处理的阈值优化算法

doi: 10.3724/SP.J.1146.2006.00534

Optimization Algorithm for Impulsive Noise Mitigation Schemes of Middle-Voltage Distribution Line Communication Systems

  • 摘要: OFDM用于实现高速电力线通信越来越受关注。脉冲噪声是电力线信道的主要干扰之一。该文在消隐非线性输出SNR分析的基础上,提出了OFDM系统脉冲噪声处理的阈值优化算法。仿真结果显示,如果OFDM系统的子载波数足够大,则实际系统输出SNR与理论表达式可以很好吻合。对于给定的脉冲指数,存在一个最低最优阈值;不同的脉冲指数A,其最低最优阈值不同,A越小,最低最优阈值反而越大;消隐器输出SNR及其性能增益是信号脉冲噪声比(SINR)的函数:在低SINR和高SINR下,输出SNR呈线性变化,性能增益分别趋近于定值;在中间SINR下,消隐器输出SNR及其性能增益是SINR的非线性函数。本消隐非线性阈值的优化算法可以改进脉冲噪声检测算法的性能,进而大大改善OFDM系统在中压配电线脉冲噪声环境中的总体性能。
  • Chow P S. Bandwidth optimized digital transmission techniques for spectrally shaped channels with impulse noise. [Doctor dissertation], Stanford University, May 1993.[2]Cimmerian M and Dostert K. An analysis of the broadband noise scenario in powerline networks[C]. Proceedings of the 4th International Symposium on Powerline Communications and Its Applications, Limerick, Ireland, April 5th-7th , 2000: 131-138.[3]Ramseier S, Arzberger M and Hauser A. MV and LV powerline communications: New proposed IEC standards[A]. IEEE Transmission and Distribution Conference, Baden, Switerland, Vol.1,11-16, April 1999: 235-239.[4]Haring J and Winck H. OFDM Transmission corrupted by impulse noise, Proceedings Int. Symposium on Power-Line Communication and Its Applications, Limerick, Iriland, April 2000: 914-918.[5]李荣伟,吴乐南. 多载波电力线通信系统脉冲噪声处理方法研究. 电子与信息学报,2006,28(19):1697-1702.[6]Proakis J. Digital Communications, 4th ed., McGraw-Hill, 2001: 719.[7]Kassam S A. Signal Detection in Non-Gaussian Noise. Berlin, Germany: Springer-Verlag, 1988.[8]Suraweera H A, Chai C, and Shentu J, et al.. Analysis of impulse noise mitigation techniques for digital television systems. In Proc. 8th International OFDM Workshop, Hamburg, Germany, September 2003: 172-176.[9]Banelli P and Cacopardi S. Theoretical analysis and performance of OFDM signals in nonlinear AWGN channels. IEEE Trans. on Commun. 2000, 48(3): 430-441.[10]Haring J and Han Vinck A J. Iterative decoding of codes over complex numbers for impulsive noise channels[J].IEEE Trans. on Inf. Theory.2003, 49(5):1251-1260[11]Wei S, Goeckel D L, and Kelly P E. A modern extreme value theory approach to calculating the distribution of the peak-to-average power ratio in OFDM systems. IEEE Int. Conf. on Communication, 2002, 3(28): 1686-1690.[12]Nuttall A H. Some integrals involving the QM function[J].IEEE Trans. on Info. Theory.1975, 21(1):95-96
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出版历程
  • 收稿日期:  2006-04-21
  • 修回日期:  2006-12-29
  • 刊出日期:  2007-11-19

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