建立用于水声通信性能评估的海洋信道脉冲响应数据库:问题、要求、方法和结果

T. C. Yang, S. H. Huang
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引用次数: 7

摘要

随着水声通信调制均衡方案的提出越来越多,需要在相同信道条件下对各种方法的性能进行评估。一个理想的解决方案是利用声传播模型开发信道模拟器。然而,这一努力并没有取得成果,因为到目前为止,除了声学环境众所周知的特殊情况外,声学信道模拟还未能捕捉到实际通信频率下真实海洋信道的特征。目前,声通信仍然依赖于现场实验来评估其性能。实验方法的问题在于,每次实验通常都是针对特定的调制方案量身定制的,而且成本太高,通常无法在相同的海洋条件下测试许多不同的算法。已经提出了一些基于数据的信道模拟器,其中信道脉冲响应(CIR)函数的实现是基于从实际数据估计的散射函数,但这种方法目前还不充分。本文提出了一种建立海洋航道数据库的方案,该方案从分数(半)符号的时间尺度上的数据推导出CIR,以捕捉航道的精细时间尺度变化。信道估计误差或替代信号预测误差可忽略不计(< - 20 dB),这证明了估计的CIRs是真实CIRs的良好复制品。CIR数据库将允许开发人员在相同的现实海洋条件下测试不同算法的性能,而不必在海上进行实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Building a database of ocean channel impulse responses for underwater acoustic communication performance evaluation: issues, requirements, methods and results
With a growing number of modulation and equalization schemes proposed for underwater acoustic communications, the need exists for methods to evaluate the performance of the various methods under the same channel conditions. An ideal solution is to develop channel simulators using acoustic propagation models. However, this effort has not been fruitful since acoustic channel simulations so far have failed to capture the characteristics of real ocean channels at practical communication frequencies, except for special cases where the acoustic environments are well known. Currently, acoustic communications still rely on field experiments to evaluate their performance. The problem with the experimental approach is that each experiment is usually tailored to a particular modulation scheme and the cost usually prohibits testing of many different algorithms under the same ocean conditions. Some data-based channel simulators have been proposed where realizations of the channel impulse response (CIR) functions are generated based on the scattering functions estimated from real data but this method is so far not adequate. A scheme to build ocean channel database is proposed in this paper, where CIR is deduced from data on the time scale of a fractional (half) symbol to capture the fine time scale changes of the channel. The estimated CIRs are good replica of the true CIRs as evidenced by the negligibly small ( < −20 dB) channel estimation error or the surrogate signal predication error. The CIR database will allow the developers to test the performance of different algorithms under the same realistic ocean conditions without having to conduct experiments at sea.
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