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首页> 外文期刊>Oceanic Engineering, IEEE Journal of >Factor-Graph-Based Joint IBI/ICI Mitigation for OFDM in Underwater Acoustic Multipath Channels With Long-Separated Clusters
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Factor-Graph-Based Joint IBI/ICI Mitigation for OFDM in Underwater Acoustic Multipath Channels With Long-Separated Clusters

机译:带有长分离簇的水下声多径信道中基于OFDM的基于因子图的IBI / ICI联合缓解

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摘要

In this paper, we investigate the multicarrier transmission in one particular type of underwater acoustic channels, which have extremely long delay spreads (e.g., around 1 s) but clustered multipath arrivals (e.g., two clusters). These channels show up in certain practical scenarios, such as in the deep-water horizontal transmissions and in the underwater broadcasting networks, and introduce both interblock interference and intercarrier interference (IBI/ICI) in the received signal. For joint IBI and ICI mitigation, we propose a factor-graph-based equalization method, in which estimation of information symbols is performed via messages passing over a well-designed graph. We also present a sparse channel estimator by treating the two clusters of the long channel as two virtual quasi-synchronous channels. Both channel estimation and equalization are integrated into a progressive receiver framework. Simulation and experimental results are provided to validate the receiver performance in both deep-water horizontal channels and underwater broadcasting networks.
机译:在本文中,我们研究了一种特殊类型的水下声信道中的多载波传输,该信道具有极长的延迟扩展(例如1 s左右),但聚集了多径到达信号(例如两个集群)。这些信道出现在某些实际情况下,例如在深水水平传输和水下广播网络中,并在接收信号中引入了块间干扰和载波间干扰(IBI / ICI)。对于联合IBI和ICI缓解,我们提出了一种基于因子图的均衡方法,其中信息符号的估计是通过经过精心设计的图上传递的消息来执行的。通过将长通道的两个群集视为两个虚拟的准同步通道,我们还提出了一个稀疏通道估计器。信道估计和均衡均集成到渐进式接收机框架中。提供了仿真和实验结果,以验证深水水平频道和水下广播网络中的接收机性能。

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