SLL: Relations to Kohonen SOMs
- Resource Type
- Conference
- Authors
- Parodi, Bruno Betoni; Szabo, Andrei; Lenz, Henning; Bamberger, Joachim; Horn, Joachim
- Source
- 2008 IEEE/ION Position, Location and Navigation Symposium Position, Location and Navigation Symposium, 2008 IEEE/ION. :641-645 May, 2008
- Subject
- Communication, Networking and Broadcast Technologies
Signal Processing and Analysis
Computing and Processing
Geoscience
Aerospace
Fields, Waves and Electromagnetics
Calibration
Position measurement
Time measurement
Iterative algorithms
Automation
Self organizing feature maps
Costs
Communications technology
Control engineering
Radio communication
- Language
- ISSN
- 2153-358X
2153-3598
The Simultaneous Localization and Learning (SLL) is an indoor localization technique based on existent radio communication networks. It originally takes received signal strength (RSS) as measured feature, used as input on an adaptive and iterative process based on Kohonen Self Organizing Maps (SOMs) in order to learn and improve a feature map. The present paper points the main characteristics from both SLL and SOM, their differences and similarities. The somewhat generic formulation for SOMs acquire physical meanings with SLL that act as a constrainment, making the SLL a very particular case of SOM. The proofs for one dimensional SOMs are complemented by the proofs presented for the SLL by the authors in previous articles.