An Adaptive Kinematic GPS Positioning Technique

Guo-Shing Huang, and Ching-Chih Tsai

Abstract:	This paper develops adaptive methodologies and techniques for observing GPS carrier phase with a least squares algorithm to solve for integer ambiguities of the kinematic GPS positioning. The traditional differential GPS technique is a widely used method to improve the navigation accuracy. In a typical DGPS system, the reference station which is located at a pre-surveyed location continuously measure the GPS signals and compute the corrections on pseudo-ranges measured from GPS satellites. The corrections are then transmitted to the users for the improvement of positioning accuracy. For the survey point of view, this kind of accuracy of DGPS is not enough to meet the users’ requirements. The kinematic GPS concept can also take the vehicle dynamics into account. GPS ambiguity resolution is process of effectively accounting for the integer of the unknown cycle ambiguities of double difference carrier phase data. In comparison with the traditional DGPS, the comparison results show that adaptive KGPS with a least square algorithm is more accuracy and robust to avoid the divergence problem caused by the noise variations or occurrence of modeling errors estimates. A new method for kinematic carrier-phase ambiguity resolution is presented based on an integer least square method. Simulations and experimental results are conducted to demonstrate the effectiveness of the proposed methods. The propose method can be expected to be useful for real-time navigation and high-accuracy surveying.
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:	483 - 489
Cite this article:	Huang, Guo-Shing, Tsai, Ching-Chih, "An Adaptive Kinematic GPS Positioning Technique," Proceedings of the 2004 National Technical Meeting of The Institute of Navigation, San Diego, CA, January 2004, pp. 483-489.
Full Paper:	ION Members/Non-Members: 1 Download Credit Sign In