基于误差自适应仿射投影算法的水声自干扰抑制方法

陈聪; 胡科学; 史文涛; 金勇; 魏倩; 肖启阳

doi:10.11959/j.issn.1000-0801.2025231

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基于误差自适应仿射投影算法的水声自干扰抑制方法

专题：水下通信网络技术 | 更新时间：2025-11-06

- 基于误差自适应仿射投影算法的水声自干扰抑制方法
- Error-adaptive affine projection algorithm based method for underwater acoustic self-interference suppression
- 电信科学 2025年41卷第10期页码：44-57
- 作者机构：
  
  1.河南大学人工智能学院，河南郑州 450046
  2.西北工业大学海洋研究院，江苏苏州 215400
- 作者简介：
  
  [ "陈聪（1990- ），男，博士，河南大学人工智能学院助理教授，主要研究方向为抗干扰通信、高精度时间同步和全双工自组网等。" ]
  [ "胡科学（2001- ），男，河南大学人工智能学院硕士生，主要研究方向为带内全双工水声通信自干扰抑制、探测通信一体化。" ]
  [ "史文涛（1985- ），男，博士，西北工业大学海洋研究院教授，主要研究方向为信号处理、MIMO 声呐信号处理等。" ]
  [ "金勇（1972- ），男，博士，河南大学人工智能学院教授，主要研究方向为智能无线传感器网络、分布式计算和智能医学信息处理等。" ]
  [ "魏倩（1984- ），女，博士，河南大学人工智能学院副教授，主要研究方向为深层体系架构（HLA）仿真系统实现、水声通信网络的软硬件。" ]
  [ "肖启阳（1987- ），男，博士，河南大学人工智能学院副教授，主要研究方向为水下智能探测、无损检测和深度学习等。" ]
- 基金信息：
  
  河南省重点研发专项(231111212500)
- DOI：10.11959/j.issn.1000-0801.2025231
  中图分类号： TP393;TN929.3
- 收稿：2025-06-24，
  
  修回：2025-08-20，
  
  录用：2025-09-30，
  
  纸质出版：2025-10-20
- 稿件说明：
移动端阅览
陈聪,胡科学,史文涛等.基于误差自适应仿射投影算法的水声自干扰抑制方法[J].电信科学,2025,41(10):44-57.

CHEN Cong,HU Kexue,SHI Wentao,et al.Error-adaptive affine projection algorithm based method for underwater acoustic self-interference suppression[J].Telecommunications Science,2025,41(10):44-57.
陈聪,胡科学,史文涛等.基于误差自适应仿射投影算法的水声自干扰抑制方法[J].电信科学,2025,41(10):44-57. DOI： 10.11959/j.issn.1000-0801.2025231.

CHEN Cong,HU Kexue,SHI Wentao,et al.Error-adaptive affine projection algorithm based method for underwater acoustic self-interference suppression[J].Telecommunications Science,2025,41(10):44-57. DOI： 10.11959/j.issn.1000-0801.2025231.

摘要

在带内全双工（in-band full-duplex，IBFD）水声通信系统的自干扰（self-interference，SI）抑制中，水下计算资源受限使得传统稀疏信道估计算法难以应对时变、多径、噪声密集的信道特性，无法兼顾收敛速度与估计精度。为此，提出基于误差自适应补偿收缩仿射投影算法（error-adaptive compensated shrinkage affine projection algorithm，EA-CS-APA）的水声SI抑制方法。该方法通过引入基于误差能量的选择更新机制抑制无效参数扰动，并构建误差与步长的非线性映射实现自适应步长调整，有效平衡收敛速度与稳态精度。实验结果表明，与补偿收缩仿射投影算法（compensated shrinkage affine projection algorithm，CS-APA）相比，所提方法在归一化均方差、SI抑制性能和计算效率方面分别提升约20%、10%和40%，在复杂时变多径环境下表现出更鲁棒的性能优势，为计算资源受限的水下通信设备提供了有效的SI抑制解决方案。

Abstract

In the context of in-band full-duplex (IBFD) underwater acoustic communication systems

self-interference (SI) suppression is challenging due to the limited underwater computational resources. Traditional sparse channel estimation algorithms struggle to cope with time-varying

multipath

and noise-dense channel characteristics

failing to balance convergence speed and estimation accuracy. To address this

an error adaptively compensated shrinkage affine projection algorithm (EA-CS-APA) for underwater SI suppression was proposed. In this method

an error energy-based selective update mechanism was introduced to suppress ineffective parameter disturbances and a nonlinear mapping between error and step size was constructed to achieve adaptive step size adjustment

effectively balancing convergence speed and steady-state accuracy. Experimental results demonstrate that

compared with the compensated shrinkage affine projection algorithm (CS-APA)

the proposed method achieves approximately 20%

10%

and 40% improvements in normalized mean square deviation

SI suppression performance

and computational efficiency

respectively. It exhibits more robust performance advantages in complex time-varying multipath environments

providing an effective SI suppression solution for underwater communication devices with limited computational resources.

关键词

Keywords

references

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