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Observation station parameter error joint multi-feature fusion attention mechanism TDOA/FDOA multi-aircraft passive localization algorithm
更新时间：2026-02-03

    • Observation station parameter error joint multi-feature fusion attention mechanism TDOA/FDOA multi-aircraft passive localization algorithm

    • “In the field of localization, experts have proposed a TDOA/FDOA multi machine passive localization algorithm that combines AM based CNN and BiLSTM networks. This algorithm combines an improved two-step weighted least squares method to correct measurement values and improve localization accuracy, providing a new solution to the problem of observation noise errors.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 11, Pages: 3751-3761(2025)
    • 作者机构：

      兰州理工大学 计算机与人工智能学院，兰州 730050

    • DOI：10.13229/j.cnki.jdxbgxb.20240295    

      CLC： TP393

    • Received：22 March 2024，

      Published：01 November 2025

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  • PENG Duo,LIU Ming-shuo,XIE Kun.Observation station parameter error joint multi-feature fusion attention mechanism TDOA/FDOA multi-aircraft passive localization algorithm[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(11):3751-3761. DOI： 10.13229/j.cnki.jdxbgxb.20240295.

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