基于改进非常数模均衡算法的轨道角动量复用通信方案
DOI:
作者:
作者单位:

华北电力大学

作者简介:

通讯作者:

中图分类号:

TN913.7

基金项目:

国家自然科学基金(62171185, 62273146)、河北省自然科学基金资助项目(E2020502010)和河北省省级科技计划资助(平台编号:SZX2020034)


Orbital Angular Momentum Multiplexing Communication Scheme Based on Improved Non-constant Modulus Algorithm
Author:
Affiliation:

North China Electric Power University

Fund Project:

The National Natural Science Foundation of China (Nos. 62273146, 62171185), The Natural Science Foundation of Hebei Province (No. E2020502010), Science & Technology Program of Hebei (No. SZX2020034)

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    针对大气湍流的影响,将原本用于多入多出(Multiple-Input Multiple-Output, MIMO)无线通信的改进非常数模均衡(Non-constant Modulus Algorithm, NCMA)算法用于轨道角动量(Orbital Angular Momentum, OAM)复用通信系统。该算法根据信道特性预设均衡器,采用分段式步长公式更新抽头系数。通过研究步长公式中预设参数对改进NCMA算法的影响,确定最佳参数取值。在此基础上,对比恒模半盲均衡(Constant Modulus Algorithm, CMA)算法、NCMA算法及改进NCMA算法的性能。结果表明,改进NCMA算法迭代次数仅为NCMA和CMA算法的1/3和1/5左右。弱中湍流下,对系统进行均衡后,改进NCMA算法可使平均误码率降低0.7个数量级,而NCMA和CMA算法仅能降低0.6和0.4个数量级;强湍流下,改进NCMA算法使系统平均误码率降低0.3-0.5个数量级,而采用NCMA和CMA算法仅降低0.03-0.3个数量级。因此,改进NCMA算法可有效改善通信质量。

    Abstract:

    For the impact of atmospheric turbulence, the improved non-constant modulus algorithm (NCMA) which is originally applied in the field of multiple-input multiple-output (MIMO) wireless communication is proposed to be applied in the OAM multiplexed communication system. This scheme presets the initial value of the equalizer based on channel characteristics, and updates the weight coefficients of the equalizer using piecewise variable step-size. By analyzing the influence of a and b in the step-size formula on the performance of the improved NCMA algorithm, the optimal values of a and b are determined. On this basis, the performance of the constant modulus algorithm (CMA), non-constant modulus algorithm(NCMA) and the improved NCMA algorithm are compared. The results show that the number of iterations of the improved NCMA algorithm is only about 1/3 and 1/5 of that of the NCMA and CMA algorithms respectively. Under weak and medium turbulence, the improved NCMA algorithm reduces the average bit error rate (ABER) by 0.7 orders of magnitude after equalization, while the NCMA and CMA algorithms only reduce it by 0.6 and 0.4 orders of magnitude. Under strong turbulence, the improved NCMA algorithm reduces the ABER by 0.3-0.5 orders of magnitude, while the NCMA and CMA algorithms only reduce it by 0.03-0.3 orders of magnitude. Therefore, the improved NCMA algorithm can effectively improve the quality of communication.

    参考文献
    相似文献
    引证文献
引用本文
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2024-06-11
  • 最后修改日期:2024-07-19
  • 录用日期:2024-07-28
  • 在线发布日期:
  • 出版日期: