On Linear MMSE Based Turbo-equalization of Nonlinear Volterra Channels

Authors

Yecai Guo, 1. Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment, Nanjing University of Information Science & Technology, Nanjing 210044, China;;2. School of Electronic & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China;;
Weiwei Ma, 2. School of Electronic & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China;;
Zhang Shan, 2. School of Electronic & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China;;
Ruizhi Zhou, 2. School of Electronic & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China;;

Abstract

Abstract: Nonlinear intersymbol interference is one of the important factors affecting the satellite channel, and it is very necessary to eliminate and reduce the effect. On the basis of using the Volterra series decomposition to denote the nonlinear channel, linear Minimum Mean Square Error (MMSE) based Volterra channel turbo equalization algorithm was proposed. In this proposed algorithm, after the linear MMSE equalizer and its two approximation algorithms were derived, the proposed linear MMSE based Volterra channel turbo equalization exact and approximate algorithms could not only eliminate the linear and nonlinear intersymbol interference but also reduce the computation complexity. Simulation results show the effectiveness of the proposed algorithm.

Recommended Citation

Guo, Yecai; Ma, Weiwei; Shan, Zhang; and Zhou, Ruizhi (2020) "On Linear MMSE Based Turbo-equalization of Nonlinear Volterra Channels," Journal of System Simulation: Vol. 28: Iss. 11, Article 14.
DOI: 10.16182/j.issn1004731x.joss.201611014
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss11/14

First Page

2742

Revised Date

2015-05-08

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201611014

Last Page

2746

CLC

TN911

Recommended Citation

Guo Yecai, Ma Weiwei, Zhang Shan, Zhou Ruizhi. On Linear MMSE Based Turbo-equalization of Nonlinear Volterra Channels[J]. Journal of System Simulation, 2016, 28(11): 2742-2746.

DOI

10.16182/j.issn1004731x.joss.201611014