A High Performance Projected DGPS Ambiguity Resolution Technique

Yujie Zhang, and Chris Bartone

Abstract:	The Kalman filter (KF) based Differential GPS (DGPS) Ambiguity Resolution (KDAR) process is often used as a solution for long baseline DGPS application [1] [2]. However, KF convergence and computation time are limiting factors for real-time applications. The Projected DGPS (PDGPS) solution technique has been proposed to remove the nonlinearity bias [3]. The PDGPS presents a solution in a close form so that Least Square (LS) can be simply and efficiently used. This paper proposed a LS based PDGPS Ambiguity Resolution (LPAR) solution technique and compares it to KDAR technique. The proposed LPAR approach significantly improves the computation efficiency and slightly reduces the ambiguity resolution convergence time compared to this KDAR approach. The mis-model sensitivity analysis indicates the LPAR is more robust than KDAR with respect to the mismodeling of measurement noise. The LPAR indicates an improvement in GPS solution performance in terms of accuracy, computation efficiency, integrity and reliability.
Published in:	Proceedings of the 2004 National Technical Meeting of The Institute of Navigation January 26 - 28, 2004 The Catamaran Resort Hotel San Diego, CA
Pages:	428 - 440
Cite this article:	Zhang, Yujie, Bartone, Chris, "A High Performance Projected DGPS Ambiguity Resolution Technique," Proceedings of the 2004 National Technical Meeting of The Institute of Navigation, San Diego, CA, January 2004, pp. 428-440.
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