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An Enhanced Non-Coherent Pre-Filter Design for Tracking Error Estimation in GNSS Receivers.

Zhibin Luo1, Jicheng Ding2, Lin Zhao3

  • 1College of Automation, Harbin Engineering University, Harbin 150001, China. woshiluozhibin@hrbeu.edu.cn.

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Summary
This summary is machine-generated.

This study enhances non-coherent pre-filters for Global Navigation Satellite System (GNSS) receivers, improving tracking error estimation accuracy. The enhanced non-coherent pre-filter significantly outperforms traditional discriminators and coherent pre-filters, especially in dynamic scenarios.

Keywords:
GNSS receiverspre-filter designtracking error estimation

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Area of Science:

  • Navigation Systems
  • Signal Processing
  • Estimation Theory

Background:

  • Accurate tracking error estimation is crucial for Global Navigation Satellite System (GNSS) receivers, impacting position, velocity, and timing precision.
  • Traditional discriminators and Kalman filter-based pre-filters are used, with pre-filters categorized as coherent or non-coherent.
  • This research specifically investigates performance enhancements for non-coherent pre-filters.

Purpose of the Study:

  • To analyze signal characteristics of coherent and non-coherent integration for tracking error estimation.
  • To derive the probability distribution of estimation noise for the four-quadrant arctangent (ATAN2) discriminator.
  • To improve the performance and effective working range of non-coherent pre-filters for GNSS tracking error estimation.

Main Methods:

  • Detailed analysis of signal characteristics for coherent and non-coherent integration.
  • Derivation of the probability distribution of estimation noise for the ATAN2 discriminator based on coherent integration models.
  • Monte Carlo simulations to study the statistical properties of observation noise in non-coherent pre-filters.
  • Integration of a fault detection and exclusion (FDE) structure into the non-coherent pre-filter design.

Main Results:

  • The enhanced non-coherent pre-filter demonstrates superior estimation accuracy compared to traditional discriminators.
  • In highly dynamic scenarios, accuracy improvements of 41.6% (carrier phase), 46.4% (carrier frequency), and 50.36% (code phase) were achieved over coherent pre-filters.
  • The enhanced non-coherent pre-filter shows advantages over coherent pre-filters in specific carrier-to-noise density ratio ranges for code phase, carrier frequency, and carrier phase error estimation.

Conclusions:

  • The enhanced non-coherent pre-filter offers significant improvements in tracking error estimation accuracy for GNSS receivers.
  • The integration of FDE extends the effective working range for carrier phase error estimation.
  • The proposed pre-filter is particularly effective in dynamic environments and under varying signal conditions.