Optimization Technique for Indoor Localization: A Multi-Objective Approach to Sampling Time and Error Rate Trade-off
Author:
Affiliation:
1. Electronics and Computer Engineering, University of Catania,Department of Electrical,Catania,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10527407/10527456/10527609.pdf?arnumber=10527609
Reference19 articles.
1. Analysis of Magnetic Field Measurements for Indoor Positioning
2. MINLOC:Magnetic Field Patterns-Based Indoor Localization Using Convolutional Neural Networks
3. Indoor Localization with Multi-objective Selection of Radiomap Models
4. Self-Localization Algorithms for Wireless Sensor Networks in the Smart City
5. How feasible is the use of magnetic field alone for indoor positioning?
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