Decorrelating CIR fingerprint data with PCA whitening or scalar quantization before MNN training reduces indoor localization misclassification in simulated offices.
Recent advances in indoor localization: A survey on theoretical approaches and applica- tions,
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Decorrelation Deep Learning for Fingerprint-based Indoor Localization
Decorrelating CIR fingerprint data with PCA whitening or scalar quantization before MNN training reduces indoor localization misclassification in simulated offices.