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C/N0 degradation in presence of chirp interference: statistical, real and estimated C/N0.

Authors :
Garcia-Pena, Axel
Novella, Guillaume
Macabiau, Christophe
Source :
GPS Solutions; Oct2024, Vol. 28 Issue 4, p1-21, 21p
Publication Year :
2024

Abstract

To characterize the impact of a RFI signal on the effective carrier-to-noise power density ratio, C/N<subscript>0</subscript>, of a GNSS receiver is very important for civil aviation standardization procedures in order to define Radio Frequency Interference (RFI)/jamming robustness test for two reasons. First, the prediction of the effective C/N<subscript>0</subscript> is fundamental to predict the minimum performance attainable by an airborne GNSS receiver and to adjust the tests accordingly. Second, the receiver’s estimation of the effective C/N<subscript>0</subscript> can allow the detection of the jamming presence and thus can help the receiver to adapt to the RFI situation. This problematic is analyzed with the introduction of three C/N<subscript>0</subscript> definitions, statistical C/N<subscript>0</subscript> which is the statistical prediction of the effective C/N<subscript>0</subscript>, real C/N<subscript>0</subscript> which is the true effective C/N<subscript>0</subscript> faced by the receiver and estimated C/N<subscript>0</subscript> which is the value provided by a C/N<subscript>0</subscript> estimator. Three conditions of validity are given to establish a relationship of equality between the three terms: ergodicity, centered RFI contribution at the correlator output and C/N<subscript>0</subscript> estimator characteristics. To evaluate this last condition, Narrow-Wideband Power Ratio (NWPR), Signal-to-Noise Variance (SNV), Beaulieu and Moments Methods (MM) estimators are inspected and their expected mean value in presence of a generic RFI is theoretically derived. Finally, a full analysis is conducted for a RFI chirp signal showing that not all chirp signals are able to allow a statistical prediction of its effective C/N<subscript>0</subscript> (condition of validity 1) and that NWPR and SNV are the more robust estimators (condition of validity 3) against this type of RFI. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10805370
Volume :
28
Issue :
4
Database :
Complementary Index
Journal :
GPS Solutions
Publication Type :
Academic Journal
Accession number :
179656430
Full Text :
https://doi.org/10.1007/s10291-024-01740-5