2012International Conference on Mechanic Automation and Control EngineeringRequires access

Study on Performance of Underwater Acoustic Channel Estimation in OFDM

Juan Chang, Tao Gao, Peng Bai, Jie Xu

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Abstract

Channel estimation is the key of orthogonal frequency division multiplexing (OFDM) applied in underwater acoustic(UWA) communication. In this paper, The Linear Minimum Mean Square Error(LMMSE) algorithm and the low-rank LMMSE algorithm are studied in underwater acoustic channel aiming at the sparsity of underwater acoustic channel. At the same time, the integrated underwater acoustic communication system is designed, and the simulinks of two algorithms are done in that system. At last, the performance of two algorithms are compared and analysed.

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What this paper is about

Channel estimation is the key of orthogonal frequency division multiplexing (OFDM) applied in underwater acoustic(UWA) communication. In this paper, The Linear Minimum Mean Square Error(LMMSE) algorithm and the low-rank LMMSE algorithm are studied in underwater acoustic channel aiming at the sparsity of underwater acoustic channel. At the same time, the integrated underwater acoustic communication system is designed, and the simulinks of two algorithms are done in that system. At last, the performance of two algorithms are compared and analysed.

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Available abstract

Channel estimation is the key of orthogonal frequency division multiplexing (OFDM) applied in underwater acoustic(UWA) communication. In this paper, The Linear Minimum Mean Square Error(LMMSE) algorithm and the low-rank LMMSE algorithm are studied in underwater acoustic channel aiming at the sparsity of underwater acoustic channel. At the same time, the integrated underwater acoustic communication system is designed, and the simulinks of two algorithms are done in that system. At last, the performance of two algorithms are compared and analysed.

Key concepts: Underwater acoustic communication, Orthogonal frequency-division multiplexing, Underwater, Channel (broadcasting), Computer science, Minimum mean square error, Underwater acoustics, Electronic engineering

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