A Low-Complexity Orthogonal Matching Pursuit Algorithm Based on Multi-Scale Multi-Lag Underwater Acoustic Channels

Jiaqi Du, Yongsheng Yan, Xiangxiang Li

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

Abstract

This paper studies the estimation of parameter for wideband underwater acoustic (UWA) channel with multi-scale and multi-lag (MSML) characteristics, within the framework of the OFDM system. Based on the Orthogonal Matching Pursuit (OMP) reconstruction model, the high computational complexity issue caused by over-parameterized dictionaries during channel estimation is addressed. A low-complexity OMP algorithm based on independent stepwise search is proposed. This algorithm leverages the MSML characteristics of UW A channels to concentrates the computation cost waste problem of inner in critical regions, thereby solving the computational waste problem of the OMP algorithm, which requires repeated inner product calculations in each iteration. This provides a low-complexity, high-performance channel estimation solution for underwater OFDM communication.

Original languageEnglish
Title of host publication2024 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350366556
DOIs
StatePublished - 2024
Event14th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2024 - Hybrid, Bali, Indonesia
Duration: 19 Aug 202422 Aug 2024

Publication series

Name2024 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2024

Conference

Conference14th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2024
Country/TerritoryIndonesia
CityHybrid, Bali
Period19/08/2422/08/24

Keywords

  • Channel estimation
  • Low complexity
  • Multi-scale and Multi-lag
  • Orthogonal Matching Pursuit

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