RADIO frequency indoors localization using trilateration

• Type: Article in International Conference Proceedings Book
• Date: 2009

Authors

Azenha, A (Author) Other; Adriano Carvalho (Author) FEUP

Conference proceedings International

Title: 16th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2009 - Proceedings

Pages: 232-235

16th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2009

25 May 2009 through 27 May 2009

Indexing

Scopus - 0 Citations

Scientific classification

CORDIS: Technological sciences > Engineering > Control engineering > Robótica Robotics

Other information

Authenticus ID: P-00A-02E

Abstract (EN): This paper describes state-of-art radio frequency (RF) localization in indoors quasi-structured environments. Trilateration is a technique adopted by RF localization method which makes use of available communications subsystem. Therefore, localization hardware is supported by that sub-system and only additional software is shown to be necessary in building localization framework. This paper shows that RF localization can be applied to indoors localization of automated guided vehicles (AGVs) with improvement of localization accuracy using artificial neural networks (ANNs). ANN can be a type of transfer function emulation scheme that does not require knowledge of corresponding function properties and, with a feed-forward structure trained through error back-propagation algorithms, it can be useful to estimate AGV location through RF link signal parameter measurements.

Language: English

Type (Professor's evaluation): Scientific