Error Analysis of Localization Based on Minimum-Error Entropy With Fiducial Points
Author:
Affiliation:
1. École de Technologie Supérieure (ÉTS), Resilient Machine Learning Institute (ReMI), Université du Québec à Montréal, Montreal, QC, Canada
Funder
Ultra Intelligence & Communications research chair on intelligent tactical wireless networks for challenging environments
National Natural Sciences and Engineering Research Council of Canada
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation
Link
http://xplorestaging.ieee.org/ielx7/4234/9399370/09293132.pdf?arnumber=9293132
Cited by 9 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
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2. A Minimum Joint Error Entropy-Based Localization Method in Mixed LOS/NLOS Environments;IEEE Internet of Things Journal;2023-11-15
3. Quantized minimum error entropy with fiducial points for robust regression;Neural Networks;2023-11
4. Recursive Hyperparameter-Free Criterion Learning;IEEE Transactions on Circuits and Systems II: Express Briefs;2022-11
5. Suppression of NLOS errors in TDOA-AOA hybrid localization;Wireless Networks;2022-10-21
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