We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Myriad non-linearity for GNSS robust signal processing.
- Authors
Borio, Daniele
- Abstract
The robustness of standard correlation-based Global Navigation Satellite System (GNSS) signal processing can be significantly improved by pre-processing the input samples with a zero-memory non-linearity (ZMNL). A paradigm for the design of ZMNLs is provided by the M-estimator framework where heavy-tailed probability density functions (pdfs) are used to model the impairments affecting the input samples. The myriad non-linearity, obtained considering a Cauchy pdf, is analysed for the acquisition and tracking of GNSS signals in the presence of pulsed interference. The impact of the myriad non-linearity is theoretically characterised and Monte Carlo simulations are used to support theoretical findings. Finally, real GNSS signals collected in the presence of jamming are processed: the myriad non-linearity provides a significant performance improvement with respect to standard GNSS signal processing which is unable to acquire and track the samples affected by interference.
- Subjects
ROBUST control; GLOBAL Positioning System; SIGNAL processing; MONTE Carlo method; PROBABILITY density function
- Publication
IET Radar, Sonar & Navigation (Wiley-Blackwell), 2017, Vol 11, Issue 10, p1467
- ISSN
1751-8784
- Publication type
Article
- DOI
10.1049/iet-rsn.2016.0610