计算机工程 ›› 2020, Vol. 46 ›› Issue (7): 216-221.doi: 10.19678/j.issn.1000-3428.0055735

• 移动互联与通信技术 • 上一篇    下一篇

FTN系统中一种改进的MMSE-NP-RISIC均衡算法

杨路, 黄俊汐, 李渊   

  1. 重庆邮电大学 通信与信息工程学院, 重庆 400065
  • 收稿日期:2019-08-14 修回日期:2019-09-21 发布日期:2019-10-09
  • 作者简介:杨路(1969-),女,高级工程师、硕士,主研方向为通信路由协议及交换技术;黄俊汐、李渊,硕士研究生。
  • 基金项目:
    重庆市基础研究与前沿探索专项(cstc2018jcyjAX0302)。

An Improved MMSE-NP-RISIC Equalization Algorithm in FTN System

YANG Lu, HUANG Junxi, LI Yuan   

  1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • Received:2019-08-14 Revised:2019-09-21 Published:2019-10-09

摘要: 超奈奎斯特信号传输能在不降低系统可靠性的情况下提高系统的有效性,但会带来严重的码间干扰,对系统的均衡性能产生影响。基于MMSE-NP-RISIC的单载波均衡方法虽然可以在一定程度上降低信道噪声和残留的符号间干扰,但其存在误差传递问题,导致均衡精度下降。为此,提出一种基于迭代思想的MMSE-NP-RISIC均衡算法,通过考虑判决误差来迭代更新噪声预测器系数和RISI滤波器系数,以改善误差传递现象并减小信道噪声与残留符号间干扰对系统性能的影响。仿真结果表明,相对于非迭代MMSE-NP-RISIC算法,该算法的误码率较低,系统均衡性能较高。

关键词: 超奈奎斯特理论, 均衡性能, 码间干扰, 迭代, 误码率

Abstract: Faster-Than-Nyquist(FTN) signaling can improve the system effectiveness without reducing the system reliability,but it will bring serious inter-symbol interference and have a serious impact on the equalization performance of the system.Although the single carrier equalization method based on MMSE-NP-RISIC can reduce the channel noise and residual symbol interference to some extent,it has the problem of error transfer,which leads to the decrease of equalization accuracy.To address the problem,this paper proposes an iterative MMSE-NP-RISIC equalization algorithm,which considers the decision error to iteratively update the coefficients of the predictor and RISI filter.Thus error transmission can be relieved and the influence of channel noise and residual inter-symbol interference on the system performance can be reduced.Simulation results show that compared with non-iterative MMSE-NP-RISIC equalization algorithms,the proposed algorithm decreases the Bit Error Rate(BER) while the system equalization performanceis improved.

Key words: Faster-Than-Nyquist(FTN) theory, equalization performance, inter-symbol interference, iteration, Bit Error Rate(BER)

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