It is a well known fact that a major threat to GNSS applications is represented by interference: both unintentional and deliberate interference may compromise accuracy, integrity, continuity and availability of Position Velocity and Time (PVT) solutions. In particular continuous/swept wave jammers, being really cheap and easy to implement, are one of the most widespread and dangerous interference source. In order to fulfill application requirements, proper interference cancellation and mitigation techniques must be devised. In this paper, we present a distributed-sensing signal waveform estimation algorithm (DSWE) based on Karhunen-Loéve Expansion (KLE). Monte Carlo simulations are used for performance evaluation and show the effectiveness of the proposed technique.
Bartolucci, M., Casile, R., Gabelli, G., Guidotti, A., Corazza, G. (2014). Distributed-Sensing Waveform Estimation for Interference Cancellation.
Distributed-Sensing Waveform Estimation for Interference Cancellation
BARTOLUCCI, MARCO;CASILE, ROBERTA;GABELLI, GIULIO;GUIDOTTI, ALESSANDRO;CORAZZA, GIOVANNI EMANUELE
2014
Abstract
It is a well known fact that a major threat to GNSS applications is represented by interference: both unintentional and deliberate interference may compromise accuracy, integrity, continuity and availability of Position Velocity and Time (PVT) solutions. In particular continuous/swept wave jammers, being really cheap and easy to implement, are one of the most widespread and dangerous interference source. In order to fulfill application requirements, proper interference cancellation and mitigation techniques must be devised. In this paper, we present a distributed-sensing signal waveform estimation algorithm (DSWE) based on Karhunen-Loéve Expansion (KLE). Monte Carlo simulations are used for performance evaluation and show the effectiveness of the proposed technique.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
