系统仿真学报 ›› 2016, Vol. 28 ›› Issue (11): 2742-2746.doi: 10.16182/j.issn1004731x.joss.201611014

• 仿真应用工程 • 上一篇    下一篇

基于线性MMSE的Volterra信道Turbo均衡算法

郭业才1,2, 马伟伟2, 张珊2, 周润之2   

  1. 1.南京信息工程大学 江苏省大气环境与装备技术协同创新中心,南京 210044;
    2.南京信息工程大学 电子与信息工程学院,南京 210044
  • 收稿日期:2015-01-28 修回日期:2015-05-08 出版日期:2016-11-08 发布日期:2020-08-13
  • 作者简介:郭业才(1962-),男,安徽,博士,教授,博导,研究方向为水声信号处理,通信信号处理,自适应盲均衡技术。
  • 基金资助:
    国家自然科学基金(61673222); 江苏省高校自然科学研究重大项目(13KJA510001); 全国优博作者资助项目(200753)

On Linear MMSE Based Turbo-equalization of Nonlinear Volterra Channels

Guo Yecai1,2, Ma Weiwei2, Zhang Shan2, Zhou Ruizhi2   

  1. 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;
  • Received:2015-01-28 Revised:2015-05-08 Online:2016-11-08 Published:2020-08-13

摘要: 非线性码间干扰是影响卫星通信的重要因素之一,需要有效消除或降低这种影响。在用Volterra级数分解表示非线性信道基础上,提出了基于线性MMSE(Minimum Mean Square Error)的Turbo均衡算法,以解决非线性码间干扰问题。通过对基于线性MMSE的Turbo均衡算法作无先验信息和低复杂度的MMSE近似处理,在不降低均衡性能的前提下,既能同时消除线性和非线性干扰,又能大大降低计算复杂度。仿真验证了该算法的有效性。

关键词: Volterra信道, 最小均方误差, Turbo均衡, 码间干扰

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.

Key words: volterra channels, Minimum Mean Square Error(MMSE), Turbo equalization, ISI

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