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半监督生成对抗网络的Wi-Fi指纹室内定位.

Jaehyun Yoo1

  • 1School of AI Convergence, Sungshin Women's University, 34 da-gil 2, Bomun-ro, Seongbuk-gu, Seoul 02844, Republic of Korea.

Sensors (Basel, Switzerland)
|September 14, 2024
PubMed
概括

本研究介绍了一个Wi-Fi半监督生成对抗网络 (SSGAN),以创建现实的室内定位数据. 这种深度学习方法通过减少手动数据收集工作,显著提高了Wi-Fi指纹的准确性.

关键词:
无线网络指纹的指纹生成性的对抗性网络.室内局部化 室内局部化半监督学习 半监督学习

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相关概念视频

IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the C=O, C=N, and C=C occur between 1600–1850 cm−1.
The...