تخمین بهینه کانال انتقال قدرت براساس تئوری یادگیری بیزین در حضور نویز ضربه‌ای

نویسندگان

دانشکده مهندسی برق و کامپیوتر - دانشگاه تبریز

چکیده

در سال‌های اخیر ارسال اطلاعات مخابراتی سرعت بالا از طریق کانال انتقال قدرت (Power Line Communication) بیش‌تر مورد توجه محققین در عرصه مخابرات قرار گرفته‌است. در این مقاله یک الگوریتم مناسب برای تخمین کانال PLC با استفاده از مالتی‌پلکس تقسیم فرکانسی متعامد (Orthogonal Frequency Division Multiplexing)ارائه شده‌است. کانال PLC با ویژگی‌های فیدینگ چندمسیره و فرکانس‌گزین تحت‌تأثیر نویزهای ضربه‌ای بوده و  این عوامل باعث افزایش خطا در تخمین کانال می‌شوند. در این مقاله، یک روش مناسب برای تخمین کانال براساس تئوری بیزین ارائه می‌شود. یک هسته جدید مقاوم در مقابل اثرات چندمسیره و نویزهای ضربه‌ای با پیچیدگی محاسباتی کمتر در ماشین بردار رابط(Relevance Vector Machine)برای تخمین پاسخ ضربه کانال PLC پیشنهاد می‌شود. انتخاب مقادیر مناسب پارامترهای مهم این هسته جدید پیشنهادی در مدل ماشین بردار رابط، خطاهای بیتی و متوسط مجذور را به‌شدت کاهش می‌دهد. نتایج شبیه‌سازی نشان می‌دهند که عمل‌کرد روش پیشنهادی نسبت به روش‌های ارائه‌شده از جمله روش Huang  براساس پارامترهای مختلف ارزیابی، بهبود بیش‌تری یافته‌است.

کلیدواژه‌ها

عنوان مقاله [English]

Optimal Estimation of Power Line Communication Channel Based on Bayesian learning Theory in the Presence of Impulsive Noise

نویسندگان [English]

  • M. Asadpour
  • B. Mozaffary Tazehkand
  • M. H. Seyedarabi
Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran
چکیده [English]

Power line communication (PLC) channel as a medium for high speed data communication transmission based on orthogonal frequency division multiplexing (OFDM) is considered. It is an environment with frequency selective and multipath fading features which has been contaminated by impulsive noise. These deficiencies in power line communications degrade the accuracy of channel estimation. In this article, an efficient channel estimation method based on Bayesian inference is presented. A new proposed kernel function with proper hyper-parameters in relevance vector machine (RVM) is used to estimate the PLC channel impulse response. It is shown that bit error rate (BER) and mean square error (MSE) in proposed method, are significantly decreased. Proposed channel estimation algorithm achieves good results respected to reported approaches as Huang channel estimation method.

کلیدواژه‌ها [English]

  • PLC
  • impulsive noise
  • OFDM
  • kernel
  • multipath
  • RVM

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