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CSI Passive indoor fingerprint positioning method based on improved weighted K⁃nearest neighbor algorithm
更新时间：2025-09-12

    • CSI Passive indoor fingerprint positioning method based on improved weighted K⁃nearest neighbor algorithm

    • “In the field of indoor positioning, researchers have proposed a passive indoor positioning method based on improved weighted K-nearest neighbor algorithm for channel state information, which effectively improves positioning accuracy.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 7, Pages: 2444-2454(2025)
    • 作者机构：

      1.西安科技大学 电气与控制工程学院， 西安 710054

      2.西安科技大学 西安市电气设备状态检测与供电安全重点实验室， 西安 710054

    • DOI：10.13229/j.cnki.jdxbgxb.20231101    

      CLC： TN92

    • Received：15 October 2023，

      Published：01 July 2025

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  • SHAO Xiao-qiang,MA Bo,HAN Ze-hui,et al.CSI Passive indoor fingerprint positioning method based on improved weighted K⁃nearest neighbor algorithm[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(07):2444-2454. DOI： 10.13229/j.cnki.jdxbgxb.20231101.

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