Performance evaluation of multipath mitigation techniques for critical urban applications based on a land mobile satellite channel model

Abstract

The use of GNSS for critical terrestrial applications requires adapted integrity monitoring algorithms for either safety or liability issues. Prior to the design of integrity monitoring algorithms, it is necessary to characterize the nominal error model of every error source affecting the pseudorange measurements. This paper focuses on describing a way to calculate the contribution of the multipath to the nominal error model by a set of simulations based on an urban channel model and a realistic GNSS tracking loop simulator. To improve the accuracy of the positioning, multipath mitigation techniques are usually implemented in the receivers. This paper assesses the performances of the Narrow Correlator, the Double-Delta and the A Posteriori Multipath Estimation techniques in an urban environment and provides their multipath residual nominal error model as a function of the satellite elevation angle. A relationship between quality monitoring indicators and the multipath estimation technique (APME) is also discussed. The results of this paper are obtained by simulating an actual urban railway environment and therefore can be taken as inputs for the design of GNSS integrity monitoring algorithms for rail users. The same approach can be used for the determination of the nominal error model for other terrestrial application subject to simulating an adapted channel.

Characterization of Meaconing and its Impact on GNSS Receivers

“…In this section, the mathematical model of the received repeated signal will be injected into ENAC's simulated receiver GeneIQ ( [5]). The outputs will be compared to theory and will be computed for several scenarios and configurations to match the various cases a GNSS receiver can be used for.…”

“…In Section II, general mathematical models of the received signal at a receiver's correlators input and output in nominal conditions then in presence of a GNSS repeater are derivated. In Section III, the impact of a GNSS repeater is mathematically determined through simulations on a virtual GNSS receiver ( [5]) having various trajectories (static, pedestrian, car and airborne) for both realistic and degraded satellites and repeater configurations.…”

High Precision Location Estimation in Mountainous Areas Using GPS

“…This method is novel and based on statistical inference of the acquired GPS data, rather than developing and adapting an effective algorithm to the signal [ 6 , 7 , 8 , 9 , 10 ], as in the case of the a posteriori multipath estimator technique (APME) [ 11 ] developed by Septentrio. There are also several methods of position estimation based on data, but these are for waveforms data and are different from this proposed method [ 12 , 13 ].…”

An HW-In-the-Loop Approach for the Assessment of GNSS Local Channel Effects in the Railway Environment

“…The model was standardized by the ITU for Earth-space land mobile telecommunication systems in the L band [33]. In the two independent works [21] and [22], the authors use this LMSCM to simulate the effects of multipath on the tracking of one satellite and assess the multipath-induced errors and the effectiveness of some multipath mitigation techniques.…”

“…Graphical representation of LMSCMLMSCM generates new values for all the parameters every ‫ݐ‬ seconds. In order to represent the multipath component with a sufficient resolution, the value of ‫ݐ‬ is set according to[16][22] as ‫ݐ‬ = ఒ ଼௩…”