Direction of arrival estimation based on improving signal spatial correlation

Wang Ye, Chen Tuo, Sun Chao

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

Abstract

The acoustic signal propagation in underwater channels at long ranges will cause a loss in signal spatial correlation and lead to decrease in array processing gain. In this paper, the direction of arrival (DOA) estimation algorithm based on sparse reconstruction is studied. Compared to the conventional beamforming, the signal spatial correlation is simulated to be improved throughout the process of reconstruction and the DOA is accurately estimated. The algorithm is also effective in the presence of badly attenuated signal.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728117072
DOIs
StatePublished - Sep 2019
Event2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019 - Dalian, Liaoning, China
Duration: 20 Sep 201922 Sep 2019

Publication series

Name2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019

Conference

Conference2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019
Country/TerritoryChina
CityDalian, Liaoning
Period20/09/1922/09/19

Keywords

  • Direction-of-arrival estimation
  • Signal spatial correlation
  • Sparse reconstruction

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