NDLI: Complex signum non-linearity for robust GNSS interference mitigation

Content Provider	IET Digital Library
Author	Daniele, Borio Pau, Closas
Abstract	The performance of a global navigation satellite system (GNSS) receiver can be significantly degraded in the presence of pulsed interference and jamming. In this study, the authors leverage on tools from robust statistics to enhance the receiver performance, with jamming signals treated as outliers to the nominal, interference-free model. Particularly, the signal samples are pre-processed with a zero-memory non-linearity (ZMNL), which limits the impact of pulsed inference in a principled way. A possible approach for the design of such ZMNL is provided by the M-estimator framework when the noise at the receiver input is modelled with a heavy-tailed distribution. This approach is adopted in this study and the complex signum non-linearity is analysed. This ZMNL is obtained by considering a complex Laplacian noise. This choice is discussed and analysed in the context of GNSS receivers under jamming. The impact of the complex signum non-linearity is theoretically analysed under nominal conditions, that is, in the absence of interference. Theoretical results are supported by Monte Carlo simulations. Real GNSS signals, collected in the presence of jamming, are used to demonstrate the advantages brought by the complex signum non-linearity. Theoretical and experimental results demonstrate the benefits of the proposed approach.
Starting Page	900
Ending Page	909
Page Count	10
ISSN	17518784
Volume Number	12
e-ISSN	17518792
Issue Number	Issue 8, Aug (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/12/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2017.0552
Journal	IET Radar, Sonar & Navigation
Publisher Date	2018-04-20
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Complex Laplacian Noise Complex Signum Nonlinearity Electromagnetic Compatibility Global Navigation Satellite System Receiver GNSS Receiver Heavy-tailed Distribution Interference Interference-free Model Jamming Jamming Signal M-estimator Framework Monte Carlo Method Monte Carlo Simulation Method Nominal Model Pulsed Interference Radio Navigation And Direction Finding Radio Receiver Robust GNSS Interference Mitigation Robust GNSS Signal Processing Satellite Communication System Satellite Navigation Signal Processing Signal Processing And Detection Statistical Distribution Zero-memory Nonlinearity ZMNL
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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