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Related Experiment Videos

Huber's Non-Linearity for GNSS Interference Mitigation †.

Daniele Borio1, Haoqing Li2, Pau Closas3

  • 1European Commission, Joint Research Centre (JRC) Directorate for Space, Security and Migration; Via Enrico Fermi 2749, 21027 Ispra (VA), Italy. daniele.borio@ec.europa.eu.

Sensors (Basel, Switzerland)
|July 13, 2018
PubMed
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This study enhances robust interference mitigation (RIM) for satellite navigation systems against jamming. The improved framework effectively rejects jamming signals without needing to detect their waveform, ensuring system reliability.

Area of Science:

  • Navigation Systems
  • Signal Processing
  • Robust Statistics

Background:

  • Satellite navigation is crucial for commercial and critical infrastructure, providing precise positioning and timing.
  • Interference, particularly from inexpensive jamming devices (Privacy Preserving Devices - PPDs), poses a significant threat to these systems.
  • Existing mitigation techniques rely on detecting and estimating interference waveforms, which can be complex and failure-prone.

Purpose of the Study:

  • To extend the Robust Interference Mitigation (RIM) framework for enhanced jamming rejection in satellite navigation.
  • To investigate the application of RIM in transformed domains where jammers exhibit sparsity.
  • To analyze the performance and efficiency of Huber's non-linearity within the RIM framework.

Main Methods:

Keywords:
GNSSHuber’s non-linearityM-estimatorinterferencejammingrobustness

Related Experiment Videos

  • Extending the Robust Interference Mitigation (RIM) framework to handle jammers sparse in transformed domains.
  • Incorporating Huber's non-linearity into the RIM algorithm to analyze its impact on efficiency.
  • Comparing the performance of the enhanced RIM framework against state-of-the-art techniques using synthetic and real-world jamming signals.

Main Results:

  • The extended RIM framework demonstrates effective rejection of jamming signals without requiring waveform detection or estimation.
  • Analysis of Huber's non-linearity provides insights into the trade-offs between robustness and efficiency in interference mitigation.
  • The proposed RIM solutions show remarkable performance improvements compared to existing methods in simulations and real-world tests.

Conclusions:

  • The enhanced Robust Interference Mitigation (RIM) framework offers a more robust and efficient solution for protecting satellite navigation systems from jamming.
  • The ability to mitigate interference without explicit detection simplifies the process and improves reliability.
  • This research contributes to securing critical navigation infrastructure against evolving threats.