Pregled bibliografske jedinice broj: 905950
Signal-to-Noise Ratio Measurements and Statistical Characterization in Gen2 RFID
Signal-to-Noise Ratio Measurements and Statistical Characterization in Gen2 RFID // 2nd International Multidisciplinary Conference on Computer and Energy Science SpliTech 2017 : proceedings
Split, Hrvatska, 2017. str. 1-4 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 905950 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Signal-to-Noise Ratio Measurements and Statistical Characterization in Gen2 RFID
Autori
Blažević, Zoran ; Šolić, Petar ; Škiljo, Maja ; Stella, Maja ; Stefanović, Čedomir ; Popovski, Petar ; Pedersen, Gert Frølund
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2nd International Multidisciplinary Conference on Computer and Energy Science SpliTech 2017 : proceedings
/ - , 2017, 1-4
ISBN
978-953-290-070-5
Skup
International Multidisciplinary Conference on Computer and Energy Science (SpliTech 2017)
Mjesto i datum
Split, Hrvatska, 12.07.2017. - 14.07.2017
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
radio-frequency identification, optimum signal-to-noise ratio, capturing effect
Sažetak
In this paper, we present measurements of the optimum signal-to-noise ratio distribution recorded by RFID reader based on software radio. The measurements are conducted in an indoor environment while maintaining an RFID setup that does not deteriorate the tag responsiveness. The analysis shows that, although non-linear in nature, the RFID system signal-to-noise can be characterized through the scale parameter of lognormal distribution, independent of the transmitting power and propagation environment. This approach can be exploited, for example, to analyze the capture effect in real environments, as well as an input to a localization technique.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Projekti:
HRZZ-UIP-2014-09-3875 - Pametna okruženja za poboljšanje kvalitete života (ELISE) (Russo, Mladen, HRZZ - 2014-09) ( CroRIS)
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split