Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.21/5086
Título: Jamming detection in GNSS signals using the sample covariance matrix.
Autor: Nunes, Fernando D.
Sousa, Fernando Manuel Gomes de
Data: 2012
Editora: IEEE
Citação: 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
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.
Peer review: yes
URI: http://hdl.handle.net/10400.21/5086
DOI: 10.1109/NAVITEC.2012.6423091
ISBN: 978-1-4673-2010-8
ISSN: 2325-5439
Aparece nas colecções:ISEL - Eng. Elect. Tel. Comp. - Comunicações

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