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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

机译:基于改进的最小均方误差的水下声学网络多输入多输出垂直铃声实验室分层时空的新型信号检测算法

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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 LDL~(H) 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.
机译:多输入多输出是一种常用的技术,用于通过具有多个天线的频率选择性衰落通道的高速速率传输。垂直贝尔实验室分层时空是一种多输入多输出系统的检测方法,它在天线和层之间建立直接对应。研究表明,多输入多输出垂直铃声实验室分层空间时间是一种有意义的高性能的水下声学网络。然而,考虑到硬件限制和能量消耗,在误码率和复杂性之间实现折衷是多输入多输出垂直钟实验室分层空间系统的水下声学网络的重要问题。本文提出了一种新颖的多输入多输出垂直铃声实验室分层时空的信号检测算法。首先,我们通过LDL〜(h)分解来解决水下声道通道的整体矩阵。其次,我们根据置换矩阵命令检测序列。第三,我们详细介绍了干扰取消和切片处理的实现。最后,我们执行比较所提出的算法的误码率,能量消耗,处理延迟和复杂性,以零强制垂直钟实验室分层时空,最小均方误差垂直 - 贝尔实验室分层空间时间,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到最大似然垂直钟实验室分层空间时间算法。然而,它降低了能源消耗,从而实现了性能和复杂性之间的良好权衡。这项工作支持构建多输入多输出垂直钟实验室分层空间系统的水下声学网络。

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