Detection of a moving target in a complex environment is a daunting task that is treated in several ways exploiting the band of electromagnetic waves from few MHz to optical frequencies. Radio-localization of targets in the microwave band has several advantages, among which low cost of the devices and the fact that the device is usually much less evident and have a wider angle of observation than a surveillance camera.

FEM-based Detection of Moving Targets via Particle Filtering and Artificial Neural Network / G. Battistelli, L. Chisci, N. Forti, L. Gao, G. Pelosi, S. Selleri. - STAMPA. - (2018), pp. 6-6. (Intervento presentato al convegno FEM 18 tenutosi a Cartagena de Indias (Colombia) nel 10 14 September).

FEM-based Detection of Moving Targets via Particle Filtering and Artificial Neural Network

G. Battistelli;L. Chisci;N. Forti;GAO, LIN;G. Pelosi;S. Selleri
2018

Abstract

Detection of a moving target in a complex environment is a daunting task that is treated in several ways exploiting the band of electromagnetic waves from few MHz to optical frequencies. Radio-localization of targets in the microwave band has several advantages, among which low cost of the devices and the fact that the device is usually much less evident and have a wider angle of observation than a surveillance camera.
2018
Computational Electromagnetics in Cartagena
FEM 18
Cartagena de Indias (Colombia)
G. Battistelli, L. Chisci, N. Forti, L. Gao, G. Pelosi, S. Selleri
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1139715
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