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GNSS Data/Pilot Combining with Extended Integrations for Carrier Tracking.

Daniele Borio1

  • 1European Commission, Joint Research Centre (JRC), 21027 Ispra, Italy.

Sensors (Basel, Switzerland)
|April 28, 2023
PubMed
Summary
This summary is machine-generated.

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This study introduces an optimal data-pilot combining strategy for Global Navigation Satellite System (GNSS) signals to enhance receiver sensitivity. The method extends integration time, improving performance under weak signal conditions.

Area of Science:

  • Signal Processing
  • Satellite Navigation Systems

Background:

  • Global Navigation Satellite System (GNSS) signals comprise pilot and data channels, each serving distinct functions.
  • Combining these channels enhances receiver sensitivity and performance, but data symbols limit integration time.

Purpose of the Study:

  • To derive an optimal data-pilot combining strategy for GNSS signals.
  • To extend the integration time beyond the data symbol duration for improved signal processing.

Main Methods:

  • Utilized Maximum Likelihood (ML) estimation to develop the data-pilot combining strategy.
  • Developed a generalized correlator combining pilot and data components with a non-linear term for data compensation.
  • Integrated the ML solution into a Phase Lock Loop (PLL) for GNSS signal processing.
Keywords:
GNSS signalsPLLPhase Lock Loopbit estimationsquaringtracking

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Main Results:

  • The proposed method extends integration time, generalizing the squaring correlator for data-only processing.
  • The optimal weights depend on estimated signal amplitude and noise variance.
  • Performance was validated through theoretical analysis, semi-analytic simulations, and hardware-simulated GNSS signals.

Conclusions:

  • The derived data-pilot combining strategy effectively extends integration time and improves GNSS receiver performance, especially under weak signal conditions.
  • The generalized correlator offers advantages over existing methods, with performance trade-offs analyzed.