Interference and MultipathSuppression with SpaceTime Adaptive Beamformingfor Safety-of-Life MaritimeApplications
2017
In this work, we present detection and mitigation
algorithms against malicious interference, custom
tailored for maritime GNSS applications. Specifically,
we propose a two-stage mitigation algorithm, that
tackles multipath and radio frequency interference (RFI),
such as continuous wave (CW), personal privacy devices
(PPD) and additive white Gaussian noise (AWGN)
interferers. It consists of a pre-whitening approach, followed
by a space-time adaptive Principle Component
Analysis (PCA) beamformer that uses a compression
method based on Canonical Components (CC) with a
bank of signal matched correlators. The proposed algorithms
are capable of suppressing strong RFI and
separating highly correlated and even coherent multipath
signals, thus achieving improved time-delay and
pseudorange estimation performance for safety-critical
applications. Finally, we evaluate and compare the proposed
algorithms not only simulative but also with real
data collected from a measurement campaign performed
at a maritime jamming testbed in the Baltic sea
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