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Direct Position Determination Algorithm Based on Matrix Reconstruction for Decorrelation

  • Beijing Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

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.

源语言英语
主期刊名2026 10th International Conference on Electronic Information Technology and Computer Engineering, EITCE 2026
出版商Institute of Electrical and Electronics Engineers Inc.
页105-108
页数4
ISBN(电子版)9798331563967
DOI
出版状态已出版 - 2026
已对外发布是
活动10th International Conference on Electronic Information Technology and Computer Engineering, EITCE 2026 - Guangzhou, 中国
期限: 12 6月 2026 → 14 6月 2026

丛书

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

会议

会议10th International Conference on Electronic Information Technology and Computer Engineering, EITCE 2026
国家/地区中国
市Guangzhou
时期12/06/26 → 14/06/26

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