Comparison of SAGE and classical multi-antenna algorithms for multipath mitigation in real-world environment

Abstract

The performance of the Space Alternating Generalized Expectation Maximisation (SAGE) algorithm for multipath mitigation is assessed in this paper. Numerical simulations have already proven the potential of SAGE in navigation context, but practical aspects of the implementation of such a technique in a GNSS receiver are the topic for further investigation. In this paper, we will present the first results of SAGE implementation in a real world environment.

A New Multipath Mitigation Method for GNSS Receivers Based on an Antenna Array

“…In order to improve the MP mitigation, another approach proposes to include the different DOA paths parameters in the estimation procedure [10,[14][15][16][17][18]. In other words, we estimate a set of parameters (amplitudes, times/delays, Doppler shifts, elevations, and azimuths) for all the incoming sources.…”

“…In order to estimate the parameters of all impinging signals, the Space Alternating Generalized Expectation Maximisation (SAGE) algorithm [16], which is a low-complexity generalization of the Maximum Likelihood (ML) algorithm, has been considered. The SAGE algorithm is usually used in communication systems [16], but the potential of SAGE in a navigation context has also been proven [17,18]. Nevertheless, the computational cost increases due to the number of unknown parameters.…”