Jamming detection in GNSS signals using the sample covariance matrix.


Autoria(s): Nunes, Fernando D.; Sousa, Fernando M. G.
Data(s)

07/09/2015

07/09/2015

2012

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