北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2024, Vol. 47 ›› Issue (3): 17-23.

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基于自适应滤波的带内全双工自干扰消除算法

李晓辉,周楠,石明利,卫晓博   

  1. 1. 西安电子科技大学广州研究院 2. 西安电子科技大学通信工程学院
  • 收稿日期:2023-06-13 修回日期:2023-07-27 出版日期:2024-06-30 发布日期:2024-06-13
  • 通讯作者: 李晓辉 E-mail:xhli@mail.xidian.edu.cn
  • 基金资助:
    国家重点研发计划项目(2018YFB1802004)

In-Band Full Duplex Self-Interference Elimination Algorithm Based on Adaptive Filtering#br#

  • Received:2023-06-13 Revised:2023-07-27 Online:2024-06-30 Published:2024-06-13

摘要: 为了保证带内全双工通信系统的有效运行,针对系统中低噪声放大器和模数转化模块的饱和问题,结合功率放大器的非线性特性以及信号传输的多径效应,提出一种基于自适应滤波算法的两阶段自干扰消除算法,具体为在数字域进行自干扰信号的重构,并分别在模拟域和数字域进行消除。在此基础上,提出一种低复杂度的滤波器初始权值更新方法,改进递归最小二乘算法以解决传统自适应滤波算法在信道突变时收敛速度较慢的问题。仿真结果表明,所提算法能够将自干扰信号功率抑制到噪声水平,保证有用信号的正确解调,并且可以有效降低自干扰信号消除所需时间。

关键词: 带内全双工通信, 自干扰消除,自适应滤波

Abstract: In order to ensure the effective operation of in-band full-duplex communication system, aiming at the saturation problem of low noise amplifier and analog to digital conversion module in the system, combined with the nonlinear characteristics of power amplifier and the multipath effect of signal transmission, a two-stage self-interference elimination algorithm based on adaptive filtering algorithm is proposed. It is eliminated in analog domain and digital domain respectively. On this basis, a low complexity filter initial weight updating method is proposed to improve the recursive least squares algorithm to solve the problem that the traditional adaptive filter converges slowly when the channel changes. Simulation results show that the proposed algorithm can suppress the power of the self-interfering signal to the noise level, ensure the correct demodulation of useful signals, and effectively reduce the time required for the self-interfering signal elimination.

Key words: In-band full duplex communication, self-interference cancellation, adaptive filtering

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