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Jamming Detection in GNSS Signals Using the Sample Covariance Matrix

Nunes, F. ; Sousa, F.

Jamming Detection in GNSS Signals Using the Sample Covariance Matrix, Proc ESA Workshop on Satellite Navigation User Equipment Technologies (NAVITEC), Noordwijk, Netherlands, Vol. 1, pp. 1 - 8, December, 2012.

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Abstract
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 is developed for the
CNT.