An Approximate Message Passing Algorithm for Channel and Impulsive Noise Estimation in Underwater Acoustic OFDM Systems

An accurate and efficient channel and impulsive noise estimation is an important step in underwater acoustic (UA) orthogonal frequency-division multiplexing systems. We propose an approximate message passing (AMP) algorithm for channel and impulsive noise estimation. In particular, we model the dist...

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Vydané v:OCEANS 2019 - Marseille s. 1 - 5
Hlavní autori: Wu, Shuyi, Wang, Shuche, He, Zhiqiang, Niu, Kai, Rong, Yue
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 01.06.2019
Predmet:
Approximation algorithms
Australia
Channel estimation
Estimation
Numerical models
Numerical simulation
OFDM
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Abstract An accurate and efficient channel and impulsive noise estimation is an important step in underwater acoustic (UA) orthogonal frequency-division multiplexing systems. We propose an approximate message passing (AMP) algorithm for channel and impulsive noise estimation. In particular, we model the distribution of the channel impulse response and impulsive noise as a Gaussian mixture, which is the prior information for the AMP algorithm. The proposed algorithm is evaluated through numerical simulations and real data collected during a UA communication experiment conducted in December 2015 in the estuary of the Swan River, Western Australia. The simulation and experimental results show that compared with existing approaches, the proposed algorithm has a better performance.
AbstractList An accurate and efficient channel and impulsive noise estimation is an important step in underwater acoustic (UA) orthogonal frequency-division multiplexing systems. We propose an approximate message passing (AMP) algorithm for channel and impulsive noise estimation. In particular, we model the distribution of the channel impulse response and impulsive noise as a Gaussian mixture, which is the prior information for the AMP algorithm. The proposed algorithm is evaluated through numerical simulations and real data collected during a UA communication experiment conducted in December 2015 in the estuary of the Swan River, Western Australia. The simulation and experimental results show that compared with existing approaches, the proposed algorithm has a better performance.
Author Niu, Kai
Wang, Shuche
Wu, Shuyi
Rong, Yue
He, Zhiqiang
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  givenname: Shuyi
  surname: Wu
  fullname: Wu, Shuyi
  organization: Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications (BUPT), Beijing, China
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  givenname: Shuche
  surname: Wang
  fullname: Wang, Shuche
  organization: Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications (BUPT), Beijing, China
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  givenname: Zhiqiang
  surname: He
  fullname: He, Zhiqiang
  organization: Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications (BUPT), Beijing, China
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  givenname: Kai
  surname: Niu
  fullname: Niu, Kai
  organization: Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications (BUPT), Beijing, China
– sequence: 5
  givenname: Yue
  surname: Rong
  fullname: Rong, Yue
  organization: School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Bentley, WA, 6102, Australia
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Snippet An accurate and efficient channel and impulsive noise estimation is an important step in underwater acoustic (UA) orthogonal frequency-division multiplexing...
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SubjectTerms Approximation algorithms
Australia
Channel estimation
Estimation
Numerical models
Numerical simulation
OFDM
Title An Approximate Message Passing Algorithm for Channel and Impulsive Noise Estimation in Underwater Acoustic OFDM Systems
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