FitLoc: Fine-Grained and Low-Cost Device-Free Localization for Multiple Targets Over Various Areas-Reference-Cited by-同舟云学术

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FitLoc: Fine-Grained and Low-Cost Device-Free Localization for Multiple Targets Over Various Areas

Published:2017-08 Issue:4 Volume:25 Page:1994-2007
ISSN:1063-6692
Container-title:IEEE/ACM Transactions on Networking
language:
Short-container-title:IEEE/ACM Trans. Networking

Author:

Chang Liqiong,Chen Xiaojiang^ORCID,Wang Yu,Fang Dingyi,Wang Ju,Xing Tianzhang,Tang Zhanyong

Funder

National Natural Science Foundation of China

U.S. National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Software

Link

http://ieeexplore.ieee.org/ielaam/90/8011587/7880657-aam.pdf

Cited by 49 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. WiFi-Based Device-Free Passive Multi-Targets Localization Using Multi-Label Learning;IEEE Communications Letters;2024-09

2. Trajectory Features-Based Robust Device-Free Gesture Recognition Using mmWave Signals;IEEE Internet of Things Journal;2024-05-15

3. Transfer Learning for Indoor Localization Algorithm Based on Deep Domain Adaptation;Sensors;2023-11-22

4. Learning to Locate: Adaptive Fingerprint-Based Localization With Few-Shot Relation Learning in Dynamic Indoor Environments;IEEE Transactions on Wireless Communications;2023-08

5. One for More: Sparse Group Lasso for Multitarget Device-Free Localization With Single-Target Fingerprint Database Under RFID System;IEEE Sensors Journal;2023-08-01

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