Nowadays, also thanks to the modernization of the Global Navigation Satellite Systems (GNSS), the number
of applications based on the user position is increasing very quickly. Since for many of those applications the
accuracy level is one of the core requirements, the monitoring of the interference produced by other telecommunication
systems has a fundamental role in the design of GNSS receivers. In fact, because of the useful signal
reaches the receiver antenna characterized by a very low power level, the interference from other electromagnetic
sources can become one of the main causes of the signal degradation. Moreover it is well known that the
frequency spectrum appears very busy and the characteristics of the signals that can interfere with the GNSS
one are very different from each other.1 For this reason the algorithms able to detect or mitigate the effect of
an interference should be precisely designed for each different interference source. The presented technique is
suitable for non-stationary signals and it develops into two different steps: the detection of the presence of the
interference and the characterization of it. During the second phase the technique is able to estimate the time and
frequency characteristics of the undesired source. The algorithm is based on the analysis of the auto-correlation
function of the received signal, which is composed by the GNSS signal, the noise and the interference, and it
exploits the particular characteristics of the auto-correlation of the noise and of the GNSS signals. In the paper
the performance of the algorithm are shown for its application to pulsed signals. Moreover the paper shows the
benefits obtained by introducing an algorithm based on the modal analysis during the detection phase.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.