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Precise Point Positioning with Partial Ambiguity Fixing.

Pan Li1, Xiaohong Zhang2

  • 1School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan 430079, China. lipan.whu@gmail.com.

Sensors (Basel, Switzerland)
|June 13, 2015
PubMed
Summary
This summary is machine-generated.

A new modified partial ambiguity resolution (PAR) method improves precise point positioning (PPP) by rapidly resolving ambiguities. This approach significantly reduces the time to first fix and increases the success rate for both static and kinematic positioning.

Keywords:
fixing ratepartial ambiguity resolutionprecise point positioningratio testsuccess ratetime to first fix

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Area of Science:

  • Geodesy and Geomatics Engineering
  • Satellite Navigation Systems

Background:

  • Precise Point Positioning (PPP) relies on rapid and reliable ambiguity resolution (AR) for accurate positioning.
  • Full Ambiguity Resolution (FAR) can be time-consuming and may fail in certain conditions, hindering real-time applications.

Purpose of the Study:

  • To introduce a modified Partial Ambiguity Resolution (PAR) method to enhance the speed and reliability of AR in PPP.
  • To improve the success rate and reduce the time to first fix (TTFF) compared to traditional FAR methods.

Main Methods:

  • A modified PAR method is proposed, incorporating elevation and standard deviation criteria to filter low-precision ambiguity estimates.
  • An iterative process using success rate and ratio-test is employed to identify and fix a high-confidence subset of ambiguities.
  • The method is validated using data from 450 stations over a seven-day period in 2012.

Main Results:

  • The PAR method significantly shortens TTFF by 14.9% for static PPP and 15.1% for kinematic PPP compared to FAR.
  • The average fixing rate is substantially increased from 83.5% to 98.2% for static PPP and 80.1% to 95.2% for kinematic PPP.
  • Kinematic PPP accuracy is notably improved with PAR due to its higher fixing rate.

Conclusions:

  • The modified PAR method offers a viable alternative to FAR, especially when full resolution fails, by achieving faster and more reliable ambiguity fixing.
  • This enhanced AR strategy improves the efficiency and accuracy of PPP, making it more suitable for time-critical applications.