Impulsive Noise Suppression and Concatenated Code for OFDM Underwater Acoustic Communications

Gang Tan, Shefeng Yan, Binbin Yang
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引用次数: 0

Abstract

Underwater acoustic (UWA) information transmission is vulnerable to the interference of impulsive noise, which has short duration, high energy and random occurrence, decreasing the reliability of the orthogonal frequency-division multiplexing (OFDM) systems seriously. In this paper, we introduce the symmetric alpha stable (SαS) distribution to model the underwater impulsive noise firstly, and verifies the accuracy by measured noise data. For strong impulsive interference, an adaptive window median filter algorithm based on Chebyshev inequality (AWMF-C) is proposed, which applies the Chebyshev inequality twice to filter out the impulses and designs an adaptive window median filter to suppress them. Secondly, the serial concatenated code with RS code as outer code and interleaver are applied to suppress the residual impulsive interference further. Simulation results show that the proposed algorithm can suppress impulsive noise effectively, and the concatenated coding system given in this paper can further reduce the bit error rate (BER) of the communications system under impulsive noise background.
OFDM水声通信脉冲噪声抑制与串接码
水声(UWA)信息传输容易受到脉冲噪声的干扰,脉冲噪声具有持续时间短、能量高、随机发生的特点,严重降低了正交频分复用(OFDM)系统的可靠性。本文首先引入对称α稳定(s - α s)分布对水下脉冲噪声进行建模,并通过实测噪声数据验证了模型的准确性。针对强脉冲干扰,提出了一种基于切比雪夫不等式的自适应窗口中值滤波算法(AWMF-C),该算法利用切比雪夫不等式两次滤除脉冲干扰,并设计自适应窗口中值滤波器抑制脉冲干扰。其次,采用RS码为外码的串行级联码和交织器进一步抑制剩余脉冲干扰;仿真结果表明,该算法能有效抑制脉冲噪声,文中给出的串联编码系统能进一步降低脉冲噪声背景下通信系统的误码率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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