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Optimization and Improvement of a Method for Signal to Noise Ratio Estimator

عنوان مقاله: Optimization and Improvement of a Method for Signal to Noise Ratio Estimator
شناسه ملی مقاله: ELEMECHCONF03_0355
منتشر شده در سومین کنفرانس ملی و اولین کنفرانس بین المللی پژوهش هایی کاربردی در مهندسی برق، مکانیک و مکاترونیک در سال 1394
مشخصات نویسندگان مقاله:

Milad Daneshvar - Department of Telecommunication Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran
Nasser Parhizgar - Department of Telecommunication Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran

خلاصه مقاله:
This paper is focused on the optimization of the physical layer of digital communication systems and it provides innovations for both multi and single-carrier systems. For single carrier systems we have proposed a method to optimize constellation design in presence of a strong distortion, such as the non linear distortion provided by satellites’ on board high power amplifier, then we developed a method to calculate the bit/symbol error rate related to a given constellation, achieving an improved accuracy with respect to the traditional Union Bound with no additional complexity. A low complexity Signal-to-Noise Ratio (SNR) estimator saves one-half of multiplication with respect to the Maximum Likelihood (ML) estimator, and it has similar estimation accuracy.

کلمات کلیدی:
SNR Estimator, ML Estimator, Gaussian distribution, Cramer-Rao Bound, Mean Square Error

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/479120/