@booklet {137,
	title = {Robust Estimation Methods Applied to GPS in Harsh Environments},
	year = {2017},
	abstract = {<p><span style="color: rgb(0, 0, 0); font-family: Verdana, Geneva, Arial, Helvetica, sans-serif; font-size: 10.666666984558105px; background-color: rgb(255, 255, 255);">Satellite navigation is very widespread in civil society; many devices and services exploit this technology and several systems are in use or in development phase. GNSS receiver, embedded in devices used in daily life (smartphones, cars and so on), works in several conditions and operational scenarios. Ensuring good positioning accuracy is challenging, especially in environment where receiver measurements are affected by gross errors, such as urban canyons. In this paper, the benefit of robust estimators in case of multiple simultaneous blunders is investigated; several robust estimators were implemented and their performances are compared with classical techniques used in GNSS context (WLS, RAIM) using real data. Effectiveness of these methods raised from tests conducted in static and kinematic mode.\&nbsp;</span></p>},
	keywords = {Blunders, GNSS, GPS, Outliers, RAIM, Robust Estimation},
	author = {Salvatore Gaglione and Anna Innac and Sonia Carbone Pastore and Salvatore Troisi and Antonio Angrisano}
}
