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Rotation Matrix Method Based on Ambiguity Function for GNSS Attitude Determination.

Yingdong Yang1, Xuchu Mao2, Weifeng Tian3

  • 1Institute of Navigation and Control, Shanghai Jiao Tong University, Shanghai 201100, China. yangyingdong01@163.com.

Sensors (Basel, Switzerland)
|June 25, 2016
PubMed
Summary
This summary is machine-generated.

This study enhances Global Navigation Satellite Systems (GNSS) attitude determination using the rotation matrix method and ambiguity function method (AFM). It improves success rates by analyzing satellite geometry

Keywords:
AFM methodGNSSattitude determinationrotation matrixsatellite geometry modelsingle-frequency

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Area of Science:

  • Geodesy and Geomatics
  • Satellite Navigation Systems

Background:

  • Global Navigation Satellite Systems (GNSS) offer robust solutions for attitude determination.
  • Traditional methods face challenges with computational complexity and noise error, impacting success rates.

Purpose of the Study:

  • To enhance GNSS attitude determination accuracy and success rates.
  • To analyze the influence of satellite geometry on attitude determination.
  • To combine the flexibility of the ambiguity function method (AFM) with improved error handling.

Main Methods:

  • Utilized the rotation matrix method for attitude angle resolution.
  • Integrated the ambiguity function method (AFM) with baseline length conditions for integer ambiguity search.
  • Analyzed the impact of satellite geometry models on noise error and success rates.
  • Compared performance against the LAMBDA (Least-squares AMBiguity Decorrelation Adjustment) method.

Main Results:

  • The rotation matrix method reduced computational complexity and improved satellite selection.
  • The combined AFM approach effectively reduced candidate ambiguity search space.
  • Detailed analysis revealed the significant influence of satellite geometry on success rates.
  • The proposed method inherited AFM flexibility while increasing success rates, effectively managing computation and noise errors.

Conclusions:

  • The developed method offers improved GNSS attitude determination, particularly for single-frequency processing.
  • The study demonstrates effective treatment of computation and noise errors through satellite geometry analysis.
  • Experimental validation on simulated and real-time data confirms the method's effectiveness in challenging GNSS attitude determination scenarios.