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A Novel Residual Frequency Estimation Method for GNSS Receivers.

Tu Thi-Thanh Nguyen¹, Vinh The La², Tung Hai Ta³

¹The International Collaboration Centre for Research and Development on Satellite Navigation Technology in South East Asia (NAVIS), Hanoi University of Science and Technology, Hanoi 100000, Vietnam. tu.nguyenthithanh2@hust.edu.vn.

Sensors (Basel, Switzerland)

|January 5, 2018

Summary

This study introduces a novel residual frequency estimation method for Global Navigation Satellite System (GNSS) receivers. The new differential processing approach enhances accuracy without expanding the search space, overcoming limitations of traditional methods.

Keywords:

GNSS signal processing closed-loop tracking differential processing frequency estimation open-loop tracking

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Area of Science:

Signal Processing
Satellite Navigation Systems

Background:

Traditional residual frequency estimation in Global Navigation Satellite System (GNSS) receivers faces challenges like noise sensitivity and large search spaces.
These methods are crucial for reducing transient times in synchronization and improving accuracy in open-loop architectures.

Purpose of the Study:

To propose a novel residual frequency estimation method for GNSS receivers.
To address the limitations of existing methods, specifically noise sensitivity and search space size.

Main Methods:

A new residual frequency estimation method based on differential processing is presented.
The proposed method's performance is evaluated against traditional techniques.

Main Results:

The differential processing method yields more accurate frequency estimates compared to traditional approaches.
The proposed method achieves improved accuracy without increasing the search space size.

Conclusions:

The novel differential processing method offers a more accurate solution for residual frequency estimation in GNSS receivers.
This approach effectively mitigates the drawbacks of conventional methods, enhancing GNSS receiver performance.