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| CSI-based Indoor Localization Method Using IDW Interpolation
and Amplitude-phase Fusion Network |
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1. Yangling Vocational & Technical College
2. Northwest Normal University
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Abstract To address the problem of poor localization performance caused by the small number of fingerprint points and the lack of
representativeness of fingerprint features in the offline phase of fingerprint-based indoor localization, a CSI-based indoor localiza‐
tion method is proposed using Inverse Distance Weighted (IDW) interpolation and amplitude-phase fusion network. The IDW inter‐
polation algorithm is used to generate a large-capacity fingerprint library. Then, a parallel convolutional neural network (CNN) is
used to process the amplitude and phase to obtain the positional fingerprint features. Finally, a novel integrated architecture fusing
Random Forest (RF) and Multilayer Perceptron (MLP) is used for classification to obtain the estimated positions of the target loca‐
tion samples.
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Published: 28 May 2024
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