Performance improvement of data transmission using a hybrid underwater and terrestrial system,Transactions on Emerging Telecommunications Technologies

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Performance improvement of data transmission using a hybrid underwater and terrestrial system
Transactions on Emerging Telecommunications Technologies ( IF 2.5 ) Pub Date : 2021-03-23 , DOI: 10.1002/ett.4247
Khalil F. Ramadan ₁ , Khaled Ramadan ₂ , Taha E. Taha ₁ , Moawad I. Dessouky ₁ , Fathi E. Abd El‐Samie ₁

Affiliation

In this paper, we investigate and enhance the performance of data transmission using a hybrid underwater and terrestrial system with low-complexity linear equalization. Due to the low speed, salinity, water depth, pH degree, and water temperature variations, underwater acoustic communication has become one of the most challenging technologies in the world. The most common linear equalizers are the Linear Zero Forcing (LZF), and Linear Minimum Mean Square Error (LMMSE) equalizers. The LZF equalizer suffers from the noise enhancement problem, while the LMMSE equalizer requires the value of the operating Signal-to-Noise Ratio (SNR) to work, correctly, which increases the computational complexity. In addition, this paper presents a low-complexity equalization scheme to overcome the drawbacks associated with the LZF, and LMMSE equalizers. The proposed equalizer is called the Joint Low-Complexity Regularized LZF equalizer, which depends on a fixed regularization parameter to minimize the noise enhancement phenomenon caused by the LZF equalizer. The proposed equalizer does not need the estimation of the SNR, and the computational complexity is reduced due to the utilization of the banded-matrix approximation. The proposed equalizer is implemented based on the Single-Input-Single-Output configuration for Orthogonal Frequency Division Multiplexing (OFDM) using the Discrete Cosine Transform. The obtained simulation results show that the proposed equalizer outperforms different equalizers for the same channel conditions.

中文翻译：

使用混合水下和地面系统的数据传输性能改进

在本文中，我们使用具有低复杂度线性均衡的混合水下和地面系统来研究和增强数据传输的性能。由于低速、盐度、水深、pH值和水温的变化，水声通信已成为世界上最具挑战性的技术之一。最常见的线性均衡器是线性迫零 (LZF) 和线性最小均方误差 (LMMSE) 均衡器。LZF 均衡器存在噪声增强问题，而 LMMSE 均衡器需要操作信噪比 ( SNR) 的值) 才能正常工作，这增加了计算复杂度。此外，本文提出了一种低复杂度均衡方案，以克服与 LZF 和 LMMSE 均衡器相关的缺点。所提出的均衡器称为联合低复杂度正则化 LZF 均衡器，它依赖于固定的正则化参数来最小化由 LZF 均衡器引起的噪声增强现象。所提出的均衡器不需要估计信噪比，并且由于使用了带状矩阵近似，降低了计算复杂度。所提出的均衡器是基于使用离散余弦变换的正交频分复用 (OFDM) 的单输入单输出配置实现的。

更新日期：2021-03-23

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