UNDERDETERMINED TWO-DIMENSIONAL LOCALIZATION FOR WIDEBAND SOURCES BASED ON DISTRIBUTED SENSOR ARRAY NETWORKS

Hantian Wu, Qing Shen, Wei Liu, Yibao Liang

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

2 Citations (Scopus)

Abstract

In this paper, we consider the underdetermined two dimensional (2-D) source localization problem for wideband sources based on a distributed sensor array network, where a sparse sub-array is placed on each observation platform and the source number is larger than the sensor number of each sub-array. The received signals are first decomposed into different frequency bins via discrete Fourier transform (DFT), followed by the vectorization process to obtain the virtual array model with a larger aperture. Then, focusing is applied to the virtual array instead of the physical array for performance improvement, and a group sparsity based 2-D localization method exploiting the difference co-array is proposed, with increased DOFs for localization. Improved performance is achieved as demonstrated by computer simulations.

Original languageEnglish
Title of host publication2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5133-5137
Number of pages5
ISBN (Electronic)9781665405409
DOIs
Publication statusPublished - 2022
Event47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Virtual, Online, Singapore
Duration: 23 May 202227 May 2022

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2022-May
ISSN (Print)1520-6149

Conference

Conference47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022
Country/TerritorySingapore
CityVirtual, Online
Period23/05/2227/05/22

Keywords

  • Distributed sensor array networks
  • difference co-array
  • focusing
  • group sparsity
  • two-dimensional localization

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