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Compressive sensing based underwater channel estimation

机译:基于压缩感知的水下通道估计

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摘要

Underwater communication is a research area of great relevance for naval applications. The proposed work explores the state of the art channel estimation techniques for underwater communications in the context of compressed sensing. A communication model with popular techniques like QPSK, QAM, OFDM etc are simulated for transmission and reception in underwater scenario. This paper considers OFDM channel estimation as a compressive sensing problem since underwater channels are characterized by sparse multipath. It is demonstrated that compressive sensing based methods give more efficient channel estimation for OFDM based underwater communication systems than conventional methods.
机译:水下通信是与海军应用密切相关的研究领域。拟议的工作探讨了在压缩传感情况下用于水下通信的最新信道估计技术。模拟了具有流行技术(例如QPSK,QAM,OFDM等)的通信模型,用于水下情况下的发送和接收。由于水下信道具有稀疏的多路径特征,因此本文将OFDM信道估计视为压缩感知问题。结果表明,与传统方法相比,基于压缩感测的方法为基于OFDM的水下通信系统提供了更有效的信道估计。

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