학술논문
A comparative analysis of iterative algorithms for SISO decoder
Document Type
Conference
Author
Source
2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS) Energy, Communication, Data Analytics and Soft Computing (ICECDS), 2017 International Conference on. :2204-2207 Aug, 2017
Subject
Language
Abstract
Soft input soft output (SISO) decoder is an essential part of linear turbo equalizer. Soft-Input Soft-Output (SISO) decoder can be designed to accomplish various algorithms. In this presented paper, we analyze the different iterative algorithms utilized for implementation of the SISO decoder architecture also, a comparative analysis of iterative algorithms are contemplated. Simulation results shows that proposed realization gives improved bit error rate (BER) performance with optimal signal to noise (SNR) ratio.