Channel Equalization Using Resursive Adaptive Matching Pursuit Algorithm
Publish place: 13th Iranian Conference on Electric Engineering
Publish Year: 1384
نوع سند: مقاله کنفرانسی
زبان: English
View: 1,940
This Paper With 6 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ICEE13_371
تاریخ نمایه سازی: 27 آبان 1386
Abstract:
Least mean square (LMS) adaptive filters have been used in a wide range of signal processing application because of its simplicity in computation and implementation. However, the slow convergence of the LMS algorithm is well known. On the other hand, the recursive least squares (RLS) algorithm has a fast convergence rate but with high computational complexity. Recently adaptive filtering are presented that are based on Matching Pursuits, have a nice tradeoff between complexity and performance . this paper describes a new approach for a channel equalizer using the Recursive Adaptive Matching Pursuit (RAMP) structure for equalization in digital communications systems, the RAMP algorithm is shown two perform very well in attenuating and inter symbol interference (ISI) relative to the standard NLMS and the recently introduced Fast Euclidean Direction Search (FEDS) algorithm.
Keywords:
Adaptive filter , east Mean Square , Recursuve Adaptive Matching Pursuit , Intersymbol Interference , Channel Equalizer
Authors
Mohammad Shams Esfand Abadi
shiraz Rajaee Teachers Training Univeristy , Department of Electrical Engineering , Tehran, Iran, Tarbiat Modares University, Department of Electrical Engineering, Tehran, Iran
John Hakon Husoy
Stavanger University College , Department of Departmenr of Electical and Computer engineering, Norway
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :