Jamming detection in GNSS signals using the sample covariance matrix.
Data(s) |
07/09/2015
07/09/2015
2012
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Resumo |
We propose a blind method to detect interference in GNSS signals whereby the algorithms do not require knowledge of the interference or channel noise features. A sample covariance matrix is constructed from the received signal and its eigenvalues are computed. The generalized likelihood ratio test (GLRT) and the condition number test (CNT) are developed and compared in the detection of sinusoidal and chirp jamming signals. A computationally-efficient decision threshold was proposed for the CNT. |
Identificador |
NUNES, Fernando D.; SOUSA, FERNANDO M. G. – Jamming detection in GNSS signals using the sample covariance matrix. In Satellite Navigation Technologies and European Workshop on GNSS Signals and Signal Processing (NAVITEC), 6th ESA Workshop. IEEE, 2012. ISBN: 978-1-4673-2010-8. Pp. 1-8 978-1-4673-2010-8 2325-5439 http://hdl.handle.net/10400.21/5086 10.1109/NAVITEC.2012.6423091 |
Idioma(s) |
eng |
Publicador |
IEEE |
Direitos |
closedAccess |
Tipo |
article conferenceObject |