BPNN Based Indoor Fingerprinting Localization Algorithm Against Environmental Fluctuations-Reference-Cited by-同舟云学术

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BPNN Based Indoor Fingerprinting Localization Algorithm Against Environmental Fluctuations

Published:2022-06-15 Issue:12 Volume:22 Page:12002-12016
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Xie Yaqin¹^ORCID,Wang Kailiang¹^ORCID,Huan Hai²^ORCID

Affiliation:

1. Department of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China

2. Department of Artificial Intelligence (Future Technology), Nanjing University of Information Science and Technology, Nanjing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9795939/09771213.pdf?arnumber=9771213

Reference36 articles.

1. Correlation Properties of Large Scale Fading Based on Indoor Measurements

2. An Improved K-Nearest-Neighbor Indoor Localization Method Based on Spearman Distance

3. A WiFi fingerprint based high-adaptability indoor localization via machine learning

4. A WiFi RSSI ranking fingerprint positioning system and its application to indoor activities of daily living recognition

5. Correlation model for shadow fading in mobile radio systems

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1. A Multiscale Spatial-Temporal Features Fusion Framework for Indoor Localization;IEEE Sensors Journal;2024-07-15

2. Stride-length Estimation Method for Indoor Navigation Assisted by SEMG Signals;2024 8th International Conference on Control Engineering and Artificial Intelligence;2024-01-26

3. A Machine Learning-Based Algorithm for Through-Wall Target Tracking by Doppler TWR;IEEE Transactions on Instrumentation and Measurement;2024

4. Dynamic Feature-Fused Localization With Smartphones Exploiting 5G NR SSB and Wi-Fi for Indoor Environments;IEEE Transactions on Instrumentation and Measurement;2024

5. An interval construction belief rule base with interpretability for complex systems;Expert Systems with Applications;2023-11

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