Robust signal processing for GNSS

Abstract

Digital signal processing for Global Navigation Satellite System (GNSS) receivers is mostly based on the assumption that the noise at the receiver input is Gaussian. This assumption leads to a non-linear Least Squares (LS) problem where GNSS signal parameters are estimated by minimizing a quadratic cost function. The receiver performance can be however significantly degraded by non-Gaussian phenomena such as interference and jamming.