Deep Learning based Underwater Acoustic OFDM Receiver with Joint Channel Estimation and Signal Detection

Yuzhi Zhang, Jiazheng Chang, Yang Liu, Xiaohong Shen, Weigang Bai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

This paper presents a deep learning (DL) based underwater acoustic (UWA) orthogonal frequency division multiplexing (OFDM) receiver, which exploits both DL and expert knowledge of block-based signal processing methods in wireless communication to improve system performance and interpretability. The proposed receiver jointly employs skip connection (SC) convolutional neural network (CNN) for channel estimation and bi-directional long short-term memory (BiLSTM) network for signal detection, abbreviated as SCBNet. Specifically, the channel estimation subnet is designed with SC CNN to utilize the thought of image super-resolution to reconstruct the entire channel frequency response of all subcarriers. The signal detection subnet is designed with BiLSTM to extract the correlations of received sequential data for signal detection. The proposed SCBNet was evaluated by experimental data, and the results have demonstrated that the SCBNet has the lowest BER performance compared with traditional linear algorithms, DL-based black-box receiver, and ComNet receiver.

Original languageEnglish
Title of host publication2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665469722
DOIs
StatePublished - 2022
Event2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022 - Xi'an, China
Duration: 25 Oct 202227 Oct 2022

Publication series

Name2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022

Conference

Conference2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022
Country/TerritoryChina
CityXi'an
Period25/10/2227/10/22

Keywords

  • channel estimation
  • deep learning
  • OFDM
  • signal detection
  • underwater acoustic communication

Fingerprint

Dive into the research topics of 'Deep Learning based Underwater Acoustic OFDM Receiver with Joint Channel Estimation and Signal Detection'. Together they form a unique fingerprint.

Cite this