计算机科学 ›› 2015, Vol. 42 ›› Issue (Z11): 310-312.

• 网络与通信 • 上一篇    下一篇

窄带电力噪声干扰下的G3标准分组检测算法的研究

张彦宇   

  1. 湖南铁道职业技术学院铁道牵引与动力学院 株洲412001
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受国家自然科学基金(61172089),高等学校博士学科专项科研基金(20120161120012)资助

On Packet Detection Algorithm of G3-PLC Specification with Narrow-band Powerline Noise Interference

ZHANG Yan-yu   

  • Online:2018-11-14 Published:2018-11-14

摘要: G3标准OFDM(正交频分复用)多载波PLC(电力线通信)技术应用于智能电网时,必须解决恶劣电力环境下的数据同步问题。当电力信道存在电力背景噪声及随机脉冲噪声时,经典的延时相关分组检测算法对数据起点检测存在较大误差。针对电力噪声的特点,为提高检测的准确度,将微分算法应用于延迟相关算法,提出新的分组检测算法。在电力噪声模型下,通过对经典算法及新的算法进行性能评测比较,验证了新算法对恶劣环境的适应性。

关键词: 电力线通信,智能电网,分组检测,正交频分复用

Abstract: When exploiting orthogonal frequency division multiplexing technology based on G3 specification on smart grid,it’s necessary to solve the synchronization in harsh powerline environment for G3-PLC system.When there are background noise and impulsive interference in powerline channel,the classic delay-and-correlate packet detection algorithm has serious error.According to the characteristic of powerline noise,the classic packet detection algorithm is improved in order to increase the accuracy of detection.Through the evaluation of classic algorithm and new algorithm,the result shows new algorithm is more accurate than classic algorithm in the condition of powerline noise model.

Key words: Power line communication(PLC),Smart grid,Packet detection,Orthogonal frequency division multiplexing(OFDM)

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