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A novel signal detection algorithm of multiple-input multiple-output Vertical-Bell Laboratories Layered Space-Time for underwater acoustic networks based on the improved minimum mean square error
International Journal of Distributed Sensor Networks ( IF 1.9 ) Pub Date : 2020-12-01 , DOI: 10.1177/1550147720979898
Gaoli Zhao 1, 2 , Jianping Wang 1, 2 , Junping Song 1 , Wei Chen 2
Affiliation  

Multiple-input multiple-output is a commonly used technology supporting for high-rate transmission over frequency-selective fading channels with multiple antennas. Vertical-Bell Laboratories Layered Space-Time is a detection method of a multiple-input multiple-output system, which establishes a direct correspondence between antennas and layers. Studies demonstrate that multiple-input multiple-output Vertical-Bell Laboratories Layered Space-Time is a meaningful way for underwater acoustic networks of high performance. However, considering the hardware constraints and energy consumption, achieving a trade-off between the bit error ratio and complexity is a crucial issue for underwater acoustic networks of multiple-input multiple-output Vertical-Bell Laboratories Layered Space-Time systems. This article proposes a novel signal detection algorithm of multiple-input multiple-output Vertical-Bell Laboratories Layered Space-Time. First, we address the unitary matrix of the underwater acoustic channel by LDLH decomposition. Second, we order the detection sequence based on the permutation matrix. Third, we detail the implementation of interference cancelation and slice processing. Finally, we perform experiments for comparing the bit error ratio, energy consumption, processing delay, and complexity of the proposed algorithm with zero-forcing Vertical-Bell Laboratories Layered Space-Time, minimum mean square error Vertical-Bell Laboratories Layered Space-Time, and maximum likelihood Vertical-Bell Laboratories Layered Space-Time. Results indicate that our algorithm maintains bit error ratio and the processing delay to that of maximum likelihood Vertical-Bell Laboratories Layered Space-Time algorithm. However, it reduces the energy consumption, which achieves a good trade-off between performance and complexity. This work supports on constructing underwater acoustic networks of multiple-input multiple-output Vertical-Bell Laboratories Layered Space-Time system.

中文翻译:

基于改进最小均方误差的水声网络多输入多输出分层时空信号检测新算法

多输入多输出是一种常用的技术,支持在具有多个天线的频率选择性衰落信道上进行高速率传输。Vertical-Bell Laboratories 分层时空是一种多输入多输出系统的检测方法,它建立了天线和层之间的直接对应关系。研究表明,多输入多输出垂直贝尔实验室分层时空是高性能水声网络的一种有意义的方式。然而,考虑到硬件限制和能耗,实现误码率和复杂度之间的权衡是多输入多输出垂直贝尔实验室分层时空系统水声网络的关键问题。本文提出了一种新的多输入多输出Vertical-Bell Laboratories 分层时空信号检测算法。首先,我们通过 LDLH 分解来解决水声通道的酉矩阵。其次,我们根据置换矩阵对检测序列进行排序。第三,我们详细介绍了干扰消除和切片处理的实现。最后,我们进行了实验,将所提出算法的误码率、能耗、处理延迟和复杂度与迫零 Vertical-Bell Laboratories Layered Space-Time、最小均方误差 Vertical-Bell Laboratories Layered Space-Time、和最大似然垂直贝尔实验室分层时空。结果表明,我们的算法将误码率和处理延迟保持为最大似然Vertical-Bell Laboratories 分层空时算法的算法。但是,它降低了能耗,从而在性能和复杂性之间取得了良好的平衡。这项工作支持构建多输入多输出垂直贝尔实验室分层时空系统的水声网络。
更新日期:2020-12-01
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