ON THE RELIABILITY OF INTEGER AMBIGUITY RESOLUTION

Global Navigation Satellite System (GNSS) carrier-phase observations are ambiguous by an unknown, integer number of cycles. These integer ambiguity parameters need to be resolved before carrier-phase observations can begin to serve as very precise pseudorange measurements. Optimal estimation of the integer ambiguities involves a complex mapping of real-valued least-squares estimates to integers, and should be applied only when one can have enough confidence in the integer solution. Therefore, it is important to have measures available that provide information on the reliability of ambiguity resolution. The success rate is a very important measure for determining whether an attempt to fix the ambiguities should be made. Only when the success rate is very close to 1 can the integer ambiguities be considered deterministic. In this paper, lower and upper bounds of the integer least-squares success rate are evaluated, since exact computation is not possible. Furthermore, the discrimination tests commonly used to validate the actual integer solution are evaluated, and the pitfalls inherent in these tests are discussed. Also, a theoretically sound, overall approach to the problem of integer estimation and validation is outlined.

[1]  Gerhard Beutler,et al.  Rapid static positioning based on the fast ambiguity resolution approach , 1990 .

[2]  Herbert Landau,et al.  On-the-Fly Ambiguity Resolution for Precise Differential Positioning , 1992 .

[3]  P. Teunissen Least-squares estimation of the integer GPS ambiguities , 1993 .

[4]  P. Teunissen The least-squares ambiguity decorrelation adjustment: a method for fast GPS integer ambiguity estimation , 1995 .

[5]  Christian Tiberius,et al.  Integer Ambiguity Estimation with the Lambda Method , 1996 .

[6]  Shaowei Han,et al.  Quality-control issues relating to instantaneous ambiguity resolution for real-time GPS kinematic positioning , 1996 .

[7]  Peter Teunissen,et al.  GPS for geodesy , 1996 .

[8]  Dennis Odijk,et al.  Ambiguity Dilution of Precision: Definition, Properties and Application , 1997 .

[9]  Peter Teunissen,et al.  A canonical theory for short GPS baselines. Part IV: precision versus reliability , 1997 .

[10]  Jinling Wang,et al.  A discrimination test procedure for ambiguity resolution on-the-fly , 1998 .

[11]  Stephen P. Boyd,et al.  Integer parameter estimation in linear models with applications to GPS , 1998, IEEE Trans. Signal Process..

[12]  P. Teunissen Success probability of integer GPS ambiguity rounding and bootstrapping , 1998 .

[13]  P. Teunissen An optimality property of the integer least-squares estimator , 1999 .

[14]  Henrik E. Thomsen Evaluation of Upper and Lower Bounds on the Success Probability , 2000 .

[15]  K. Kondo Optimal Success/Error Rate and Its Calculation in Resolution of Integer Ambiguities in Carrier Phase Positioning of Global Positioning System (GPS) and Global Navigation Satellite System (GNSS) , 2003 .

[16]  Peter Teunissen,et al.  An invariant upperbound for the GNSS bootstrappend ambiguitysuccess-rate , 2003 .

[17]  Peter Teunissen An invariant upper bound for the GNSS bootstrapped ambiguity success-rate , 2003 .

[18]  Peter Teunissen A carrier phase ambiguity estimator with easy-to-evaluate fail-rate , 2003 .

[19]  Peter Teunissen,et al.  Integer aperture GNSS ambiguity resolution , 2003 .

[20]  Peter Teunissen,et al.  Towards a Unified Theory of GPS Ambiguity Resolution , 2003 .

[21]  Sandra Verhagen,et al.  On the Foundation of the Popular Ratio Test for GNSS Ambiguity Resolution , 2004 .

[22]  S. Verhagen Integer ambiguity validation: an open problem? , 2004 .

[23]  Peter Teunissen,et al.  Penalized GNSS Ambiguity Resolution , 2004 .

[24]  Sandra Verhagen,et al.  New Global Navigation Satellite System Ambiguity Resolution Method Compared to Existing Approaches , 2006 .