Nonlinear error modified equalization algorithm in high-order modulation of satellite communication

Cheng-kai TANG; Ling-ling ZHANG; Bao-wang LIAN

doi:10.11959/j.issn.1000-436x.2017014

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Nonlinear error modified equalization algorithm in high-order modulation of satellite communication

更新时间：2024-06-05

- Nonlinear error modified equalization algorithm in high-order modulation of satellite communication
- Journal on Communications Vol. 38, Issue 1, Pages: 117-125(2017)
- 作者机构：
  
  1. 西北工业大学电子信息学院，陕西西安 710072
  2. 西北工业大学航海学院，陕西西安 710072
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China for Youths(61501430)
- DOI：10.11959/j.issn.1000-436x.2017014
  CLC： TN927
- Online First：2017-01，
  
  Published：25 January 2017
- 稿件说明：
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Cheng-kai TANG, Ling-ling ZHANG, Bao-wang LIAN. Nonlinear error modified equalization algorithm in high-order modulation of satellite communication[J]. Journal on Communications, 2017, 38(1): 117-125.
DOI：

Cheng-kai TANG, Ling-ling ZHANG, Bao-wang LIAN. Nonlinear error modified equalization algorithm in high-order modulation of satellite communication[J]. Journal on Communications, 2017, 38(1): 117-125. DOI： 10.11959/j.issn.1000-436x.2017014.

摘要

针对现有的均衡方法计算量大、非线性误差补偿速度慢的问题，提出了一种基于幅相分离的快速非线性均衡方法。该方法首先将接收信号的幅度和相位进行分离处理，并分别通过反馈均衡模型对信号进行均衡处理以减小计算复杂度，然后利用Volterra模型对误差进行非线性修正，并通过该非线性修正误差更新反馈均衡的参数，从而快速消除非线性干扰和记忆干扰。从误码率、收敛速度和计算复杂度3个方面将所提出的方法与现有的主要均衡方法进行理论和仿真分析比较，结果表明，在相同误码率下，所提方法的计算复杂度仅为其他均衡方法的14.1%～24.9%，能够快速实现非线性干扰的消除。

Abstract

Aiming at the larger computation and the slower speed of nonlinear error compensation of traditional equalization algorithms

the fast nonlinear error equalization algorithm with amplitude and phase separation was constructed.It combined the feedback equalization to reduce the computational complexity respectively.In order to eliminate nonlinear interference and memory interference

the algorithm utilized the Volterra model to modify the error and it was adapted to update the feedback equalization parameters.The theoretical analysis and simulation compared proposed algorithm and existing conventional equalization algorithms from the bit error rate

convergence speed and computational complexity.The results show that the computational complexity is only equivalent to 14.1%～24.9% of other algorithms and proposed method can cancel the nonlinear interference quickly.

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references

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