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Direct Position Determination Algorithm Based on Matrix Reconstruction for Decorrelation

  • Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

To address the failure of classical subspace-based direct position determination (DPD) algorithms under coherent sources and the low efficiency in solving the cost function, this paper proposes a DPD algorithm based on matrix reconstruction for decorrelation and gradient-guided tabu search. Under an observation range of 2km, when the signal-to-noise ratio (SNR) is higher than -5dB, the positioning error of the proposed algorithm is less than 30m. The algorithm exhibits good robustness and achieves superior positioning accuracy compared to existing typical methods.

Original languageEnglish
Title of host publication2026 10th International Conference on Electronic Information Technology and Computer Engineering, EITCE 2026
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages105-108
Number of pages4
ISBN (Electronic)9798331563967
DOIs
Publication statusPublished - 2026
Externally publishedYes
Event10th International Conference on Electronic Information Technology and Computer Engineering, EITCE 2026 - Guangzhou, China
Duration: 12 Jun 2026 → 14 Jun 2026

Publication series

Name2026 10th International Conference on Electronic Information Technology and Computer Engineering, EITCE 2026

Conference

Conference10th International Conference on Electronic Information Technology and Computer Engineering, EITCE 2026
Country/TerritoryChina
CityGuangzhou
Period12/06/26 → 14/06/26

Keywords

  • array signal
  • coherent sources
  • direct position determination
  • tabu search

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