Regularized threshold iteration method for impulsive noise suppression in underwater acoustic communication

Nana LI; Youming LI; Mingchen YU; Qianqian LU

doi:10.11959/j.issn.1000-0801.2019010

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Regularized threshold iteration method for impulsive noise suppression in underwater acoustic communication

research and development | 更新时间：2024-06-05

- Regularized threshold iteration method for impulsive noise suppression in underwater acoustic communication
- Telecommunications Science Vol. 35, Issue 3, Pages: 76-83(2019)
- 作者机构：
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- DOI：10.11959/j.issn.1000-0801.2019010
  CLC： TP393
- Published Online：2019-03，
  
  Published：20 March 2019
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Nana LI, Youming LI, Mingchen YU, et al. Regularized threshold iteration method for impulsive noise suppression in underwater acoustic communication[J]. Telecommunications science, 2019, 35(3): 76-83.
DOI：

Nana LI, Youming LI, Mingchen YU, et al. Regularized threshold iteration method for impulsive noise suppression in underwater acoustic communication[J]. Telecommunications science, 2019, 35(3): 76-83. DOI： 10.11959/j.issn.1000-0801.2019010.

摘要

脉冲噪声干扰会严重地影响水声通信系统的性能，提出了一种基于正则化阈值迭代的脉冲噪声抑制方法。首先利用空子载波矩阵，将脉冲噪声与高斯白噪声和有用信号分离，然后基于压缩感知理论，通过引入阈值迭代将脉冲噪声估计问题转化为正则化问题，并利用阈值函数对脉冲噪声进行估计，得到脉冲噪声的估计值，最后在接收信号中减去脉冲噪声的估计值，完成对脉冲噪声的抑制。仿真结果表明：与已有估计算法相比较，提出的方法有效降低了水声通信系统的误码率（BER）和均方误差（MSE），提高了信号传输的可靠性。

Abstract

Impulsive noise interference can seriously affect the performance of underwater acoustic communication systems.An impulsive noise suppression method based on regularized threshold iteration was presented.Firstly

the null subcarrier matrix was used to separate impulsive noise from Gaussian white noise and useful signals.Then

based on the theory of compressed sensing

the impulsive noise estimation problem was transformed into a regularization problem by introducing a threshold iteration

and the impulsive noise was estimated by using a threshold function to obtain the estimated value of the impulsive noise.Finally

the estimated impulsive noise was subtracted from the received signal.The simulation results show that the proposed method can effectively reduce the bit error rate (BER) and mean square error (MSE)

and improve the reliability of signal transmission in underwater acoustic communication environment.

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references

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