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Joint Channel Estimation and Impulsive Noise Mitigation in Underwater Acoustic OFDM Communication Systems

机译:水下声OFDM通信系统中的联合信道估计和脉冲噪声缓解

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Impulsive noise occurs frequently in underwater acoustic (UA) channels and can significantly degrade the performance of UA orthogonal frequency-division multiplexing (OFDM) systems. In this paper, we propose two novel compressed sensing based algorithms for joint channel estimation and impulsive noise mitigation in UA OFDM systems. The first algorithm jointly estimates the channel impulse response and the impulsive noise by utilizing pilot subcarriers. The estimated impulsive noise is then converted to the time domain and removed from the received signals. We show that this algorithm reduces the system bit-error-rate through improved channel estimation and impulsive noise mitigation. In the second proposed algorithm, a joint estimation of the channel impulse response and the impulsive noise is performed by exploiting the initially detected data. Then, the estimated impulsive noise is removed from the received signals. The proposed algorithms are evaluated and compared with existing methods through numerical simulations and on real data collected during a UA communication experiment conducted in the estuary of the Swan River, WA, Australia, during December 2015. The results show that the proposed approaches consistently improve the accuracy of channel estimation and the performance of impulsive noise mitigation in UA OFDM communication systems.
机译:脉冲噪声经常在水下声学(UA)通道中发生,并且可能显着降低UA正交频分复用(OFDM)系统的性能。在本文中,我们针对UA OFDM系统中的联合信道估计和脉冲噪声缓解提出了两种基于压缩感知的新颖算法。第一种算法通过利用导频子载波来联合估计信道脉冲响应和脉冲噪声。然后将估计的脉冲噪声转换到时域,并从接收的信号中删除。我们表明,该算法通过改进的信道估计和脉冲噪声缓解功能降低了系统的误码率。在第二种提出的算法中,通过利用最初检测到的数据来执行信道脉冲响应和脉冲噪声的联合估计。然后,从接收到的信号中去除估计的脉冲噪声。通过数值模拟以及在2015年12月在澳大利亚华盛顿州天鹅河河口进行的UA通信实验中收集的真实数据,对提出的算法进行了评估,并与现有方法进行了比较。结果表明,提出的方法不断改进UA OFDM通信系统中信道估计的准确性和脉冲噪声缓解的性能。

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