ArticleSensors (Basel, Switzerland)2021
CCpos: WiFi Fingerprint Indoor Positioning System Based on CDAE-CNN.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- SE-MTCAELoc: SE-Aided Multi-Task Convolutional Autoencoder for Indoor Localization with Wi-Fi.Sensors (Basel, Switzerland) · 2026Article
- From Fingerprinting to Advanced Machine Learning: A Systematic Review of Wi-Fi and BLE-Based Indoor Positioning Systems.Sensors (Basel, Switzerland) · 2025Review
- A novel 3D indoor localization method integrating deep spatial feature augmentation and attention-based denoising.Scientific reports · 2025Article
- High accuracy indoor positioning system using Galois field-based cryptography and hybrid deep learning.Scientific reports · 2025Article
- Bayesian optimized indoor positioning algorithm based on dual clustering.Scientific reports · 2025Article
- Few-Shot Learning in Wi-Fi-Based Indoor Positioning.Biomimetics (Basel, Switzerland) · 2024Article
- A 3D ray traced biological neural network learning model.Nature communications · 2024Article
- Few-Shot Learning for WiFi Fingerprinting Indoor Positioning.Sensors (Basel, Switzerland) · 2023Article
- Convolutional Model with a Time Series Feature Based on RSSI Analysis with the Markov Transition Field for Enhancement of Location Recognition.Sensors (Basel, Switzerland) · 2023Article
- Co-Occurrence Fingerprint Data-Based Heterogeneous Transfer Learning Framework for Indoor Positioning.Sensors (Basel, Switzerland) · 2022Article
- WiFi Indoor Location Based on Area Segmentation.Sensors (Basel, Switzerland) · 2022Article
- XGBLoc: XGBoost-Based Indoor Localization in Multi-Building Multi-Floor Environments.Sensors (Basel, Switzerland) · 2022Article
- Calibration-Free 3D Indoor Positioning Algorithms Based on DNN and DIFF.Sensors (Basel, Switzerland) · 2022Article
- A Novel Valued Tolerance Rough Set and Decision Rules Method for Indoor Positioning Using WiFi Fingerprinting.Sensors (Basel, Switzerland) · 2022Article
- Comprehensive Analysis of Applied Machine Learning in Indoor Positioning Based on Wi-Fi: An Extended Systematic Review.Sensors (Basel, Switzerland) · 2022Review
- One-Size-Fits-All Policies Are Unacceptable: A Sustainable Management and Decision-Making Model for Schools in the Post-COVID-19 Era.International journal of environmental research and public health · 2022Article
- Improving the Accuracy of Estimates of Indoor Distance Moved Using Deep Learning-Based Movement Status Recognition.Sensors (Basel, Switzerland) · 2022Article
- An Indoor Navigation Algorithm Using Multi-Dimensional Euclidean Distance and an Adaptive Particle Filter.Sensors (Basel, Switzerland) · 2021Article
- Using Smart Virtual-Sensor Nodes to Improve the Robustness of Indoor Localization Systems.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
WiFi is widely used for indoor positioning because of its advantages such as long transmission distance and ease of use indoors. To improve the accuracy and robustness of indoor WiFi fingerprint localization technology, this paper proposes a positioning system CCPos (CADE-CNN Positioning), which is based on a convolutional denoising autoencoder (CDAE) and a convolutional neural network (CNN). In the offline stage, this system applies the K-means algorithm to extract the validation set from the all-training set. In the online stage, the RSSI is first denoised and key features are extracted by the CDAE. Then the location estimation is output by the CNN. In this paper, the Alcala Tutorial 2017 dataset and UJIIndoorLoc are adopted to verify the performance of the CCpos system. The experimental results show that our system has excellent noise immunity and generalization performance. The mean positioning errors on the Alcala Tutorial 2017 dataset and the UJIIndoorLoc are 1.05 m and 12.4 m, respectively.
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