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
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:
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
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/