scholarly journals Integer estimation methods for GPS ambiguity resolution: an applications oriented review and improvement

Survey Review ◽  
2012 ◽  
Vol 44 (324) ◽  
pp. 59-71 ◽  
Author(s):  
Peiliang Xu ◽  
Chuang Shi ◽  
Jingnan Liu
Keyword(s):  
Ambiguity Resolution ◽  
Estimation Methods ◽  
Integer Estimation ◽  
Gps Ambiguity Resolution

scholarly journals Effect of stochastic ionospheric delay modeling for GPS ambiguity resolution

2009 ◽  
Vol 61 (8) ◽  
pp. e41-e44
Author(s):  
Chang-Ki Hong ◽  
Dorota A. Grejner-Brzezinska ◽  
Jay Hyoun Kwon ◽  
Niyazi Arslan
Keyword(s):  
Ambiguity Resolution ◽  
Ionospheric Delay ◽  
Gps Ambiguity Resolution

Impact of Decorrelation on Success Rate Bounds of Ambiguity Estimation

2016 ◽  
Vol 69 (5) ◽  
pp. 1061-1081 ◽  
Author(s):  
Lei Wang ◽  
Yanming Feng ◽  
Jiming Guo ◽  
Charles Wang
Keyword(s):  
Success Rate ◽  
Ambiguity Resolution ◽  
Performance Measure ◽  
Global Navigation Satellite Systems ◽  
Navigation Systems ◽  
Success Rates ◽  
Satellite Systems ◽  
Integer Estimation ◽  
Ambiguity Estimation ◽  
Global Navigation Satellite

Reliability is an important performance measure of navigation systems and this is particularly true in Global Navigation Satellite Systems (GNSS). GNSS positioning techniques can achieve centimetre-level accuracy which is promising in navigation applications, but can suffer from the risk of failure in ambiguity resolution. Success rate is used to measure the reliability of ambiguity resolution and is also critical in integrity monitoring, but it is not always easy to calculate. Alternatively, success rate bounds serve as more practical ways to assess the ambiguity resolution reliability. Meanwhile, a transformation procedure called decorrelation has been widely used to accelerate ambiguity estimations. In this study, the methodologies of bounding integer estimation success rates and the effect of decorrelation on these success rate bounds are examined based on simulation. Numerical results indicate decorrelation can make most success rate bounds tighter, but some bounds are invariant or have their performance degraded after decorrelation. This study gives a better understanding of success rate bounds and helps to incorporate decorrelation procedures in success rate bounding calculations.

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