Low-complexity single carrier time domain equalization algorithm

HE Shiwen; GUAN Peiwen; PENG Chengzuo; DENG Xunzhe; AN Zhenyu

doi:10.11959/j.issn.1000-436x.2024162

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Low-complexity single carrier time domain equalization algorithm

Papers | 更新时间：2024-10-10

- Low-complexity single carrier time domain equalization algorithm
- Journal on Communications Vol. 45, Issue 9, Pages: 170-182(2024)
- 作者机构：
  
  1.新疆大学软件学院，新疆乌鲁木齐 830049
  2.中南大学计算机学院，湖南长沙 410083
  3.紫金山实验室，江苏南京 211111
- 作者简介：
- 基金信息：
  
  The National Key Research and Development Program of China(2023YFB2504700)
- DOI：10.11959/j.issn.1000-436x.2024162
  CLC： TN92
- Received：23 February 2024，
  
  Revised：2024-07-15，
  
  Published：25 September 2024
- 稿件说明：
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何世文,官沛雯,彭丞佐等.低复杂度单载波时域均衡算法[J].通信学报,2024,45(09):170-182.

HE Shiwen,GUAN Peiwen,PENG Chengzuo,et al.Low-complexity single carrier time domain equalization algorithm[J].Journal on Communications,2024,45(09):170-182.
何世文,官沛雯,彭丞佐等.低复杂度单载波时域均衡算法[J].通信学报,2024,45(09):170-182. DOI： 10.11959/j.issn.1000-436x.2024162.

HE Shiwen,GUAN Peiwen,PENG Chengzuo,et al.Low-complexity single carrier time domain equalization algorithm[J].Journal on Communications,2024,45(09):170-182. DOI： 10.11959/j.issn.1000-436x.2024162.

摘要

由于卫星通信体制的约束，接收机信号处理在时域进行，致使传统信道均衡算法面临高维矩阵求逆困境。充分利用Toeplitz矩阵的特殊结构和连续干扰消除思想，提出了一种低复杂度单载波时域均衡算法，将高维信道均衡系统转换成多个低维信道均衡系统，依次对低维信道均衡系统进行均衡，从而避免对高维矩阵求逆操作。实验结果表明，与传统信道均衡算法相比，所提算法能以更低的计算复杂度实现更相近甚至更优的误码性能。

Abstract

Due to the constraints of the satellite communication systems

the receiver signal processing was carried out in the time domain

which made traditional channel equalization algorithms face the challenge of high-dimensional matrix inversion. Taking full advantage of the special structure of Toeplitz matrix and the idea of successive interference cancellation

a low-complexity single carrier time domain equalization algorithm was proposed to avoid high-dimensional matrix inversion

by converting the high-dimensional channel equalization system into multiple low-dimensional channel equalization systems and performing channel equalization successively. Simulation results show that compared with the traditional channel equalization algorithms

the proposed algorithm can achieve similar or better performance with lower complexity.

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Keywords

references

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