Multiple-input multiple-output under-ice acoustic communication in shallow water

Xiao Han, Jingwei Yin, G. Yu
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引用次数: 3

Abstract

Multiple-input multiple-output (MIMO) techniques have been the subject of increased attention for underwater acoustic communication for its ability to significantly improve the channel capabilities. Recently, an under-ice MIMO acoustic communication experiment was conducted in shallow water which differs from previous works in that the water column was covered by about 40 centimeters thick sea ice. In this experiment, high frequency MIMO signals centered at 10 kHz were transmitted from a two-element source array to a four-element vertical receive array at 1km range. The unique under-ice acoustic propagation environment in shallow water seems naturally separate data streams from different transducers, but there is still co-channel interference. Time reversal followed by a single channel decision feedback equalizer is used in this paper to compensate for the inter-symbol interference and co-channel interference. It is demonstrated that this simple receiver scheme is good enough to realize robust performance using fewer hydrophones (i.e. 2) without the explicit use of complex co-channel interference cancelation algorithms such as parallel interference cancelation or serial interference cancelation. Two channel estimation algorithms based on least square and least mean square are also studied for MIMO communications in this paper and their performance are compared using experimental data.
浅水多输入多输出冰下声通信
多输入多输出(MIMO)技术由于能够显著提高水声通信的信道性能而受到越来越多的关注。最近,我们在浅水区进行了冰下MIMO水声通信实验,与以往不同的是,这里的水柱被约40厘米厚的海冰覆盖。在本实验中,以10 kHz为中心的高频MIMO信号从两元源阵列发射到1km距离上的四元垂直接收阵列。浅水独特的冰下声传播环境似乎自然地将数据流从不同的换能器中分离出来,但仍然存在同信道干扰。本文采用时间反转后的单通道决策反馈均衡器来补偿码间干扰和同通道干扰。结果表明,这种简单的接收机方案足以在使用较少的水听器(即2个)的情况下实现稳健的性能,而无需明确使用复杂的同信道干扰抵消算法,如并行干扰抵消或串行干扰抵消。本文还研究了基于最小二乘和最小均二乘的两种MIMO通信信道估计算法,并用实验数据对其性能进行了比较。
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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