GNSS L5/E5 Maximum Likelihood Synchronization Performance Degradation under DME Interferences

Lorenzo Ortega, Corentin Lubeigt, Jordi Vilà-Valls, Eric Chaumette

Abstract: Abstract—Global Navigation Satellite Systems (GNSS) are a key player in a plethora of applications. For navigation purposes, interference scenarios are among the most challenging operation conditions, which clearly impact the maximum likelihood estimates (MLE) of the signal synchronization parameters. While several interference mitigation techniques exist, a theoretical analysis on the GNSS MLE performance degradation under interference, being fundamental for system/receiver design, is a missing tool. The main goal of this contribution is to introduce a mathematical tool to evaluate the effect of any type of interference on any GNSS signal. Regarding such tool, we provide closed-form expressions of the misspecified Cramer-Rao (MCRB) bound ´ and estimation bias, for a generic GNSS signal corrupted by an interference. The proposed expressions are used to analyze the GNSS performance degradation induced by the distance measuring equipment (DME) system. Index Terms—GNSS synchronization, DME interference, maximum likelihood, misspecified CRB, bias analysis
Published in: 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS)
April 24 - 27, 2023
Hyatt Regency Hotel
Monterey, CA
Pages: 553 - 558
Cite this article: Ortega, Lorenzo, Lubeigt, Corentin, Vilà-Valls, Jordi, Chaumette, Eric, "GNSS L5/E5 Maximum Likelihood Synchronization Performance Degradation under DME Interferences," 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS), Monterey, CA, April 2023, pp. 553-558. https://doi.org/10.1109/PLANS53410.2023.10140102
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