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Compensating for source depth change and observing surface waves using underwater communication signals

机译:使用水下通信信号补偿源深度变化并观察表面波

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摘要

Underwater communications impose greatchallenges due to the unpredictable changes in the environment. In order to accommodate for these changes, equalizers are used to track the Impulse Responses (IRs) andcompensate the intersymbol interference (ISI). Source and array depth shifts are one of the major contributing factors tocontinuous amplitude and phase changes in IR. These changes magnify the problem of data processing in which correlationbetween successive received signals is involved, e.g. passive Time Reversal (pTR) where a probe signal is sent ahead of thedata for post cross-correlation. In this paper, an environment based algorithm is used for pTR equalization, where anappropriate frequency shift of the estimated IR compensates for the geometric changes such as source and array depth shifts. We have applied this Frequency Shift pTR equalizer (FSpTR) on real data collected from Underwater Acoustic Barrier 2007 (UAB’07) sea trial having 1000 baud BPSKsignaling at carrier frequency of 6.25 KHz with a sudden source depth change of 0.5 m at various known instants of time. The results illustrate that a considerable gain can be attained using the environment based equalizer in the presence of source and/or array depth changes. Moreover by closeanalysis of the FSpTR results we have detected surface wave motion through the frequency shifts caused by the array depthvariations.
机译:由于环境的不可预测变化,水下通信构成了巨大的挑战。为了适应这些变化,均衡器用于跟踪脉冲响应(IR)并补偿符号间干扰(ISI)。源和阵列深度偏移是导致IR连续幅度和相位变化的主要因素之一。这些变化扩大了数据处理的问题,其中涉及连续的接收信号之间的相关性,例如,信号强度。被动时间反转(pTR),其中在数据之前发送探测信号以进行后互相关。在本文中,基于环境的算法用于pTR均衡,其中估计的IR的适当频移补偿了诸如源和阵列深度偏移之类的几何变化。我们已将此频移pTR均衡器(FSpTR)应用于从水下声屏障2007(UAB'07)海上试验收集的真实数据中,该数据具有1000波特BPSK信号,载频为6.25 KHz,在各种已知时刻震源深度突然改变了0.5 m时间。结果表明,在存在源和/或阵列深度变化的情况下,使用基于环境的均衡器可以获得相当可观的增益。此外,通过对FSpTR结果的密切分析,我们已经通过由阵列深度变化引起的频移检测到了表面波运动。

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