Direction-of-Arrival Estimation with Efficient Graph Spatial Spectrum Construction

Jiaxin Shen, Taojun Ying, Zongyu Zhang, Yingchen Wei, Wei Liu, Zhiguo Shi

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

Abstract

Existing graph signal processing (GSP) based direction-of-arrival (DOA) estimation methods suffer from high computational complexity due to the way of graph spatial spectrum construction. In this paper, an efficient GSP-based DOA estimation method is proposed by incorporating a new cost function to construct the graph spatial spectrum. By per-forming the graph Fourier transform on the received signals that are represented with a weighted directed graph, the graph frequency spectrum are obtained and analyzed, from which a cost function is developed allowing efficient graph spatial spectrum construction. Then, the DOA is estimated by searching for peaks in the constructed graph spatial spectrum. Simulation results demonstrate improved estimation accuracy and efficiency compared to existing GSP-based DOA methods.

Original languageEnglish
Title of host publicationInternational Conference on Communications in China, ICCC Workshops 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages413-417
Number of pages5
ISBN (Electronic)9798350377675
DOIs
Publication statusPublished - Aug 2024
Event2024 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2024 - Hangzhou, China
Duration: 7 Aug 20249 Aug 2024

Publication series

NameInternational Conference on Communications in China, ICCC Workshops 2024

Conference

Conference2024 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2024
Country/TerritoryChina
CityHangzhou
Period7/08/249/08/24

Keywords

  • DOA estimation
  • Graph Fourier transform
  • Graph signal processing
  • Graph spatial spectrum

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Communication

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