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Pregled bibliografske jedinice broj: 492550

Wireless LAN Electromagnetic Field Prediction for Indoor Environment Using Artificial Neural Network


Šarolić, Antonio; Matić, Petar
Wireless LAN Electromagnetic Field Prediction for Indoor Environment Using Artificial Neural Network // Automatika : časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije, 51 (2010), 3; 233-240 (međunarodna recenzija, članak, znanstveni)


Naslov
Wireless LAN Electromagnetic Field Prediction for Indoor Environment Using Artificial Neural Network

Autori
Šarolić, Antonio ; Matić, Petar

Izvornik
Automatika : časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije (0005-1144) 51 (2010), 3; 233-240

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Electromagnetic field prediction; Indoor propagation; Artificial neural network (ANN); Multilayer perceptron (MLP); MATLAB

Sažetak
A simple neural model for electromagnetic field prediction in indoor environment was created based on field strength measurements at 2.4 GHz, conducted at University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture (FESB Split). Vertical rod antenna (omnidirectional in the horizontal plane) was placed in a faculty hallway and used as the electromagnetic field source. Electromagnetic field distribution was defined by commonly used rectangular grid of uniformly distributed measurement points. However, instead of commonly used Cartesian coordinates for measurement points location description, we used polar coordinates of distance and azimuth angle measured from the field source. These coordinates are found to be more suitable for the organization of input data, as the physical distribution of the field strength around the antenna depends on the same variables. This resulted with predictive ability improvement of the neural model, as confirmed by simulation results. Three-Layer Perceptron, trained with Levenberg-Marquardt (LM) algorithm, produced the best results.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Projekt / tema
023-0000000-3273 - Mjerenja u području EMC i istraživanja EM utjecaja na zdravlje (Antonio Šarolić, )

Ustanove
Fakultet elektrotehnike, strojarstva i brodogradnje, Split,
Pomorski fakultet, Split

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Uključenost u ostale bibliografske baze podataka:


  • INSPEC
  • EBSCO