Bearing-only Localization Based on an Array Network with Distributed ADMM

Guanxi Sun, Wei Liu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

The two-dimensional target localization problem for a network of distributed sensor sub-arrays (with a sub-array at each receiver) is investigated in the compressive sensing framework based on group sparsity, and the well-known alternating direction method of multipliers (ADMM) method is applied to derive a distributed implementation algorithm. It does not require transmission of the impinging signals from each sub-array to a central processor, while the whole optimisation process is realised in a distributed way. Simulation results show that the proposed algorithm under certain conditions performs better than the existing group sparsity based localization method in terms of localization accuracy, speed and computational complexity.

Original languageEnglish
Title of host publicationIEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331515669
DOIs
Publication statusPublished - Nov 2024
Event2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 - Zhuhai, China
Duration: 22 Nov 202424 Nov 2024

Publication series

NameIEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

Conference

Conference2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
Country/TerritoryChina
CityZhuhai
Period22/11/2424/11/24

Keywords

  • ADMM
  • angle of arrival
  • Bearing-only localization
  • compressive sensing
  • distributed sensor array network
  • group sparsity
  • LASSO

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Signal Processing
  • Control and Optimization

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