A Hybrid Indoor Positioning Algorithm for Cellular and Wi-Fi Networks
Author:
Funder
Postgraduate Innovation Project of Central South University
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-021-05925-9.pdf
Reference25 articles.
1. Bregar, K.; Mohorčič, M.: Improving indoor localization using convolutional neural networks on computationally restricted devices. IEEE Access 6, 17429–17441 (2018)
2. Li, X.; Wang, J.; Liu, C.: A Bluetooth/PDR integration algorithm for an indoor positioning system. Sensors 15(10), 24862–24885 (2015)
3. Wang, C.; Wu, F.; Shi, Z.: Indoor positioning technique by combining RFID and particle swarm optimization-based back propagation neural network. Optik 127(17), 6839–6849 (2016)
4. Zhang, X.; Wu, H.; Uradziński, M.: Usefulness of nonlinear interpolation and particle filter in Zigbee indoor positioning. Geod. Cartogr. 63(2), 219–233 (2014)
5. Zhang, L.; Gang, Y.: Ultra-wide-band based indoor positioning technologies. J. Data Acquis. Process. 28(6), 706–713 (2013)
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Enhancing Indoor Positioning Accuracy with WLAN and WSN: A QPSO Hybrid Algorithm with Surface Tessellation;Algorithms;2024-07-25
2. Indoor Localization for the Blind Based on the Fusion of a Metaheuristic Algorithm with a Neural Network Using Energy-Efficient WSN;Arabian Journal for Science and Engineering;2022-09-08
3. Fusion Algorithm of WiFi and IMU for Indoor Positioning;2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS);2022-07-22
4. An improved indoor localization algorithm based on SOM and WKNN;International Conference on Computer Application and Information Security (ICCAIS 2021);2022-05-25
5. An Improved WKNN Algorithm Based on Flexible K Selection Strategy and Distance Compensation for Indoor Localization;Arabian Journal for Science and Engineering;2022-02-01
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3