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access icon openaccess Myriad non-linearity for GNSS robust signal processing

  • Author(s): Daniele Borio 1
    • View affiliations
  • Source: Volume 11, Issue 10, October 2017, p. 1467 – 1476
    DOI:  10.1049/iet-rsn.2016.0610 , Print ISSN 1751-8784, Online ISSN 1751-8792
This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Received 07/12/2016, Accepted 21/02/2017, Revised 06/02/2017, Published 15/03/2017

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.

Inspec keywords: signal processing; probability; jamming; Monte Carlo methods; satellite navigation

Other keywords: probability density functions; ZMNL; Monte Carlo simulations; correlation-based global navigation satellite system; myriad nonlinearity; zero-memory nonlinearity; GNSS robust signal processing

Subjects: Monte Carlo methods; Electromagnetic compatibility and interference; Radionavigation and direction finding; Signal processing and detection

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